2020
|
Köhne, Judith; Drenhaus, Heiner; Delogu, Francesca; Demberg, Vera The on-line processing of causal and concessive discourse connectives Journal Article Forthcoming to appear in the Special Issue on Discourse Expectations, Linguistics, Forthcoming. BibTeX @article{K\"{o}hne2020,
title = {The on-line processing of causal and concessive discourse connectives },
author = {Judith K\"{o}hne and Heiner Drenhaus and Francesca Delogu and Vera Demberg },
year = {2020},
date = {2020-00-00},
journal = {to appear in the Special Issue on Discourse Expectations, Linguistics},
publisher = { to appear in the Special Issue on Discourse Expectations, Linguistics.},
keywords = {},
pubstate = {forthcoming},
tppubtype = {article}
}
|
Asr, Fatemeh Torabi; Demberg, Vera Interpretation of Discourse Connectives Is Probabilistic: Evidence From the Study of But and Although Journal Article Discourse Processes, 57 (4), pp. 376-399, 2020. BibTeX @article{torabi2020interpretation,
title = {Interpretation of Discourse Connectives Is Probabilistic: Evidence From the Study of But and Although},
author = {Fatemeh Torabi Asr and Vera Demberg},
year = {2020},
date = {2020-00-00},
journal = {Discourse Processes},
volume = {57},
number = {4},
pages = {376-399},
publisher = {Taylor & Francis},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Crible, Ludivine; Demberg, Vera When Do We Leave Discourse Relations Underspecified? The Effect of Formality and Relation Type Journal Article Discours , (26), 2020. Abstract | Links | BibTeX @article{Crible2020,
title = {When Do We Leave Discourse Relations Underspecified? The Effect of Formality and Relation Type},
author = {Ludivine Crible and Vera Demberg},
url = {https://journals.openedition.org/discours/10848},
doi = {10.4000/discours.10848},
year = {2020},
date = {2020-00-00},
journal = {Discours },
number = {26},
abstract = {Speakers have several options when they express a discourse relation: they can leave it implicit, or make it explicit, usually through a connective. Although not all connectives can go with every relation, there is one that is particularly frequent and compatible with very many discourse relations, namely and. In this paper, we investigate the effect of discourse relation type and text genre on the production and perception of underspecified relations of contrast and consequence signalled by and. We combine a corpus study of spoken English, a production experiment and a perception experiment in order to test two hypotheses: (1) and is more compatible with relations of consequence than of contrast, due to factors of cognitive complexity and conceptual differences; (2) and is more compatible with informal than formal genres, because of requirements of recipient design. The three studies partially converge in identifying a stable effect of relation type and genre on the production and perception of underspecified relations of consequence and contrast marked by and.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Speakers have several options when they express a discourse relation: they can leave it implicit, or make it explicit, usually through a connective. Although not all connectives can go with every relation, there is one that is particularly frequent and compatible with very many discourse relations, namely and. In this paper, we investigate the effect of discourse relation type and text genre on the production and perception of underspecified relations of contrast and consequence signalled by and. We combine a corpus study of spoken English, a production experiment and a perception experiment in order to test two hypotheses: (1) and is more compatible with relations of consequence than of contrast, due to factors of cognitive complexity and conceptual differences; (2) and is more compatible with informal than formal genres, because of requirements of recipient design. The three studies partially converge in identifying a stable effect of relation type and genre on the production and perception of underspecified relations of consequence and contrast marked by and. |
2019
|
Shi, Wei; Demberg, Vera Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains Inproceedings Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 5789-5795, Association for Computational Linguistics, Hong Kong, China, 2019. Abstract | Links | BibTeX @inproceedings{shi-demberg-2019-next,
title = {Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains},
author = {Wei Shi and Vera Demberg},
url = {https://www.aclweb.org/anthology/D19-1586},
doi = {10.18653/v1/D19-1586},
year = {2019},
date = {2019-11-00},
booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
pages = {5789-5795},
publisher = {Association for Computational Linguistics},
address = {Hong Kong, China},
abstract = {Implicit discourse relation classification is one of the most difficult tasks in discourse parsing. Previous studies have generally focused on extracting better representations of the relational arguments. In order to solve the task, it is however additionally necessary to capture what events are expected to cause or follow each other. Current discourse relation classifiers fall short in this respect. We here show that this shortcoming can be effectively addressed by using the bidirectional encoder representation from transformers (BERT) proposed by Devlin et al. (2019), which were trained on a next-sentence prediction task, and thus encode a representation of likely next sentences. The BERT-based model outperforms the current state of the art in 11-way classification by 8% points on the standard PDTB dataset. Our experiments also demonstrate that the model can be successfully ported to other domains: on the BioDRB dataset, the model outperforms the state of the art system around 15% points.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Implicit discourse relation classification is one of the most difficult tasks in discourse parsing. Previous studies have generally focused on extracting better representations of the relational arguments. In order to solve the task, it is however additionally necessary to capture what events are expected to cause or follow each other. Current discourse relation classifiers fall short in this respect. We here show that this shortcoming can be effectively addressed by using the bidirectional encoder representation from transformers (BERT) proposed by Devlin et al. (2019), which were trained on a next-sentence prediction task, and thus encode a representation of likely next sentences. The BERT-based model outperforms the current state of the art in 11-way classification by 8% points on the standard PDTB dataset. Our experiments also demonstrate that the model can be successfully ported to other domains: on the BioDRB dataset, the model outperforms the state of the art system around 15% points. |
Yung, Frances; Scholman, Merel C J; Demberg, Vera Crowdsourcing Discourse Relation Annotations by a Two-Step Connective Insertion Task Inproceedings Linguistic Annotation Workshop at ACL. LAW XIII 2019, 2019. BibTeX @inproceedings{Yung2019,
title = {Crowdsourcing Discourse Relation Annotations by a Two-Step Connective Insertion Task},
author = {Frances Yung and Merel C. J. Scholman and Vera Demberg
},
year = {2019},
date = {2019-08-01},
publisher = {Linguistic Annotation Workshop at ACL. LAW XIII 2019},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Shi, Wei; Yung, Frances; Demberg, Vera Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification Inproceedings In Proceedings of Discourse Relation Parsing and Treebanking (DISRPT@NAACL-2019), pp. 12-21, Minneapolis, USA, 2019. BibTeX @inproceedings{Shi2019,
title = {Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification},
author = {Wei Shi and Frances Yung and Vera Demberg},
year = {2019},
date = {2019-06-06},
booktitle = {In Proceedings of Discourse Relation Parsing and Treebanking (DISRPT@NAACL-2019)},
pages = {12-21},
address = {Minneapolis, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Demberg, Vera; Scholman, Merel C J; Asr, Fatemeh How compatible are our discourse annotation frameworks? Insights from mapping RST-DT and PDTB annotations Journal Article Dialogue & Discourse , 10 (1) , pp. 87-135, 2019. BibTeX @article{Demberg2019,
title = {How compatible are our discourse annotation frameworks? Insights from mapping RST-DT and PDTB annotations},
author = {Vera Demberg and Merel C. J. Scholman and Fatemeh Asr},
year = {2019},
date = {2019-06-01},
journal = {Dialogue & Discourse },
volume = {10 (1)},
pages = {87-135},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Shi, Wei; Demberg, Vera Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification Inproceedings In Proceedings of the 13th International Conference on Computational Semantics (IWCS-2019), pp. 188-199, Gothenburg, 2019. BibTeX @inproceedings{Shi2019b,
title = {Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification},
author = {Wei Shi and Vera Demberg},
year = {2019},
date = {2019-05-23},
booktitle = {In Proceedings of the 13th International Conference on Computational Semantics (IWCS-2019)},
pages = {188-199},
address = {Gothenburg},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Zhai, Fangzhou; Demberg, Vera; Shkadzko, Pavel; Shi, Wei; Sayeed, Asad A Hybrid Model for Globally Coherent Story Generation Inproceedings Proceedings of the Second Workshop on Storytelling, Association for Computational Linguistics, Florence, 2019. BibTeX @inproceedings{Fangzhou2019,
title = {A Hybrid Model for Globally Coherent Story Generation},
author = {Fangzhou Zhai and Vera Demberg and Pavel Shkadzko and Wei Shi and Asad Sayeed},
year = {2019},
date = {2019-00-00},
booktitle = {Proceedings of the Second Workshop on Storytelling},
publisher = {Association for Computational Linguistics},
address = {Florence},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Scholman, Merel C J Coherence relations in discourse and cognition : comparing approaches, annotations, and interpretations PhD Thesis Saarland University, 2019. Abstract | Links | BibTeX @phdthesis{Scholman_diss_2019,
title = {Coherence relations in discourse and cognition : comparing approaches, annotations, and interpretations},
author = {Merel C. J. Scholman},
editor = {Vera Demberg [Akademische Betreuung]},
url = {http://nbn-resolving.de/urn:nbn:de:bsz:291--ds-278687},
doi = {http://dx.doi.org/10.22028/D291-27868},
year = {2019},
date = {2019-00-00},
address = {Saarbr\"{u}cken},
school = {Saarland University},
abstract = {When readers comprehend a discourse, they do not merely interpret each clause or sentence separately; rather, they assign meaning to the text by creating semantic links between the clauses and sentences. These links are known as coherence relations (cf. Hobbs, 1979; Sanders, Spooren & Noordman, 1992). If readers are not able to construct such relations between the clauses and sentences of a text, they will fail to fully understand that text. Discourse coherence is therefore crucial to natural language comprehension in general. Most frameworks that propose inventories of coherence relation types agree on the existence of certain coarse-grained relation types, such as causal relations (relations types belonging to the causal class include Cause or Result relations), and additive relations (e.g., Conjunctions or Specifications). However, researchers often disagree on which finer-grained relation types hold and, as a result, there is no uniform set of relations that the community has agreed on (Hovy & Maier, 1995). Using a combination of corpus-based studies and off-line and on-line experimental methods, the studies reported in this dissertation examine distinctions between types of relations. The studies are based on the argument that coherence relations are cognitive entities, and distinctions of coherence relation types should therefore be validated using observations that speak to both the descriptive adequacy and the cognitive plausibility of the distinctions. Various distinctions between relation types are investigated on several levels, corresponding to the central challenges of the thesis. First, the distinctions that are made in approaches to coherence relations are analysed by comparing the relational classes and assessing the theoretical correspondences between the proposals. An interlingua is developed that can be used to map relational labels from one approach to another, therefore improving the interoperability between the different approaches. Second, practical correspondences between different approaches are studied by evaluating datasets containing coherence relation annotations from multiple approaches. A comparison of the annotations from different approaches on the same data corroborate the interlingua, but also reveal systematic patterns of discrepancies between the frameworks that are caused by different operationalizations. Finally, in the experimental part of the dissertation, readers’ interpretations are investigated to determine whether readers are able to distinguish between specific types of relations that cause the discrepancies between approaches. Results from off-line and online studies provide insight into readers’ interpretations of multi-interpretable relations, individual differences in interpretations, anticipation of discourse structure, and distributional differences between languages on readers’ processing of discourse. In sum, the studies reported in this dissertation contribute to a more detailed understanding of which types of relations comprehenders construct and how these relations are inferred and processed.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
When readers comprehend a discourse, they do not merely interpret each clause or sentence separately; rather, they assign meaning to the text by creating semantic links between the clauses and sentences. These links are known as coherence relations (cf. Hobbs, 1979; Sanders, Spooren & Noordman, 1992). If readers are not able to construct such relations between the clauses and sentences of a text, they will fail to fully understand that text. Discourse coherence is therefore crucial to natural language comprehension in general. Most frameworks that propose inventories of coherence relation types agree on the existence of certain coarse-grained relation types, such as causal relations (relations types belonging to the causal class include Cause or Result relations), and additive relations (e.g., Conjunctions or Specifications). However, researchers often disagree on which finer-grained relation types hold and, as a result, there is no uniform set of relations that the community has agreed on (Hovy & Maier, 1995). Using a combination of corpus-based studies and off-line and on-line experimental methods, the studies reported in this dissertation examine distinctions between types of relations. The studies are based on the argument that coherence relations are cognitive entities, and distinctions of coherence relation types should therefore be validated using observations that speak to both the descriptive adequacy and the cognitive plausibility of the distinctions. Various distinctions between relation types are investigated on several levels, corresponding to the central challenges of the thesis. First, the distinctions that are made in approaches to coherence relations are analysed by comparing the relational classes and assessing the theoretical correspondences between the proposals. An interlingua is developed that can be used to map relational labels from one approach to another, therefore improving the interoperability between the different approaches. Second, practical correspondences between different approaches are studied by evaluating datasets containing coherence relation annotations from multiple approaches. A comparison of the annotations from different approaches on the same data corroborate the interlingua, but also reveal systematic patterns of discrepancies between the frameworks that are caused by different operationalizations. Finally, in the experimental part of the dissertation, readers’ interpretations are investigated to determine whether readers are able to distinguish between specific types of relations that cause the discrepancies between approaches. Results from off-line and online studies provide insight into readers’ interpretations of multi-interpretable relations, individual differences in interpretations, anticipation of discourse structure, and distributional differences between languages on readers’ processing of discourse. In sum, the studies reported in this dissertation contribute to a more detailed understanding of which types of relations comprehenders construct and how these relations are inferred and processed. |
2018
|
Yung, Frances; Demberg, Vera Do speakers produce discourse connectives rationally? Inproceedings 8th Workshop on Cognitive Aspects of Computational Language Learning and Processing (CogACLL2018, Melbourne, Australia, 2018. BibTeX @inproceedings{Yung2019b,
title = {Do speakers produce discourse connectives rationally?},
author = {Frances Yung and Vera Demberg},
year = {2018},
date = {2018-07-09},
publisher = {8th Workshop on Cognitive Aspects of Computational Language Learning and Processing (CogACLL2018},
address = {Melbourne, Australia},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sanders, Ted J M; Demberg, Vera; Hoek, Jet; Scholman, Merel C J; Asr, Fatemeh Torabi; Zufferey, Sandrine; Evers-Vermeul, Jacqueline Unifying dimensions in coherence relations: How various annotation frameworks are related Journal Article Corpus Linguistics and Linguistic Theory, 2018. Links | BibTeX @article{Sanders2018,
title = {Unifying dimensions in coherence relations: How various annotation frameworks are related},
author = {Ted J. M. Sanders and Vera Demberg and Jet Hoek and Merel C. J. Scholman and Fatemeh Torabi Asr and Sandrine Zufferey and Jacqueline Evers-Vermeul},
doi = {10.1515/cllt-2016-0078},
year = {2018},
date = {2018-05-22},
journal = {Corpus Linguistics and Linguistic Theory},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Crible, Ludivine; Demberg, Vera The effect of genre variation on the production and acceptability of underspecified discourse markers in English Inproceedings 20th DiscourseNet, 2018. BibTeX @inproceedings{Crible2018,
title = {The effect of genre variation on the production and acceptability of underspecified discourse markers in English},
author = {Ludivine Crible and Vera Demberg},
year = {2018},
date = {2018-01-01},
publisher = {20th DiscourseNet},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2017
|
Evers-Vermeul, Jaqueline; Hoek, Jet; Scholman, Merel C J On temporality in discourse annotation: Theoretical and practical considerations Journal Article Dialogue and Discourse, 8(2) , pp. 1-20, 2017. BibTeX @article{Vermeul2017,
title = {On temporality in discourse annotation: Theoretical and practical considerations},
author = {Jaqueline Evers-Vermeul and Jet Hoek and Merel C. J. Scholman },
year = {2017},
date = {2017-00-00},
journal = {Dialogue and Discourse},
volume = {8(2)},
pages = {1-20},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Rutherford, Attapol; Demberg, Vera; Xue, Nianwen A systematic study of neural discourse models for implicit discourse relation Inproceedings European Chapter of the Association for Computational Linguistics (EACL), 2017. BibTeX @inproceedings{Rutherford2017,
title = {A systematic study of neural discourse models for implicit discourse relation},
author = {Attapol Rutherford and Vera Demberg and Nianwen Xue},
year = {2017},
date = {2017-00-00},
publisher = {European Chapter of the Association for Computational Linguistics (EACL)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Scholman, Merel C J; Demberg, Vera Crowdsourcing discourse interpretations: On the influence of context and the reliability of a connective insertion task Inproceedings Linguistic Annotation Workshop, 2017. BibTeX @inproceedings{Scholman2017,
title = {Crowdsourcing discourse interpretations: On the influence of context and the reliability of a connective insertion task},
author = {Merel C. J. Scholman and Vera Demberg},
year = {2017},
date = {2017-00-00},
publisher = {Linguistic Annotation Workshop},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Scholman, Merel C J; Demberg, Vera Examples and specifications that prove a point: Distinguishing between elaborative and argumentative discourse relations Journal Article Dialogue and Discourse, 8 (2), pp. 53-86, 2017. BibTeX @article{Scholman2017b,
title = {Examples and specifications that prove a point: Distinguishing between elaborative and argumentative discourse relations},
author = {Merel C. J. Scholman and Vera Demberg},
year = {2017},
date = {2017-00-00},
journal = {Dialogue and Discourse},
volume = {8},
number = {2},
pages = {53-86},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Scholman, Merel C J; Rohde, Hannah; Demberg, Vera "On the one hand" as a cue to anticipate upcoming discourse structure Journal Article Journal of Memory and Language, 97 , pp. 47-60, 2017. BibTeX @article{Merel2017,
title = {"On the one hand" as a cue to anticipate upcoming discourse structure},
author = {Merel C. J. Scholman and Hannah Rohde and Vera Demberg},
year = {2017},
date = {2017-00-00},
journal = {Journal of Memory and Language},
volume = {97},
pages = {47-60},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Shi, Wei; Demberg, Vera On the need of cross validation for discourse relation classification Inproceedings European Chapter of the Association for Computational Linguistics (EACL), 2017. BibTeX @inproceedings{Shi2017,
title = {On the need of cross validation for discourse relation classification},
author = {Wei Shi and Vera Demberg},
year = {2017},
date = {2017-00-00},
publisher = {European Chapter of the Association for Computational Linguistics (EACL)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Shi, Wei; Yung, Frances; Rubino, Raphael; Demberg, Vera Using explicit discourse connectives in translation for implicit discourse relation classification Inproceedings 8th International Joint Conference on Natural Language Processing, 2017. BibTeX @inproceedings{Shi2017b,
title = {Using explicit discourse connectives in translation for implicit discourse relation classification},
author = {Wei Shi and Frances Yung and Raphael Rubino and Vera Demberg},
year = {2017},
date = {2017-00-00},
publisher = {8th International Joint Conference on Natural Language Processing},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Hoek, Jet; Scholman, Merel C J Evaluating discourse annotation: Some recent insights and new approaches Inproceedings Proceedings of the 13th Joint ISO-ACL Workshop on Interoperable Semantic Annotation (ISA-13), 2017. BibTeX @inproceedings{hoek2017evaluating,
title = {Evaluating discourse annotation: Some recent insights and new approaches},
author = {Jet Hoek and Merel C. J. Scholman},
year = {2017},
date = {2017-00-00},
booktitle = {Proceedings of the 13th Joint ISO-ACL Workshop on Interoperable Semantic Annotation (ISA-13)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2016
|
Sayeed, Asad; Hong, Xudong; Demberg, Vera Roleo: Visualising Thematic Fit Spaces on the Web Inproceedings Proceedings of ACL-2016 System Demonstrations, pp. 139-144, Association for Computational Linguistics, Berlin, Germany, 2016. Links | BibTeX @inproceedings{sayeed-hong-demberg:2016:P16-4,
title = {Roleo: Visualising Thematic Fit Spaces on the Web},
author = {Asad Sayeed and Xudong Hong and Vera Demberg},
url = {http://anthology.aclweb.org/P16-4024},
year = {2016},
date = {2016-08-01},
booktitle = {Proceedings of ACL-2016 System Demonstrations},
pages = {139-144},
publisher = {Association for Computational Linguistics},
address = {Berlin, Germany},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pusse, Florian; Sayeed, Asad; Demberg, Vera LingoTurk: managing crowdsourced tasks for psycholinguistics Inproceedings Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, pp. 57-61, Association for Computational Linguistics, San Diego, California, 2016. Links | BibTeX @inproceedings{pusse-sayeed-demberg:2016:N16-3,
title = {LingoTurk: managing crowdsourced tasks for psycholinguistics},
author = {Florian Pusse and Asad Sayeed and Vera Demberg},
url = {http://www.aclweb.org/anthology/N16-3012},
year = {2016},
date = {2016-06-01},
booktitle = {Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations},
pages = {57-61},
publisher = {Association for Computational Linguistics},
address = {San Diego, California},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sayeed, Asad; Greenberg, Clayton; Demberg, Vera Thematic fit evaluation: an aspect of selectional preferences Journal Article Proceedings of the 1st Workshop on Evaluating Vector Space Representations for NLP, pp. 99-105, 2016, ISBN: 9781945626142. BibTeX @article{Sayeed2016,
title = {Thematic fit evaluation: an aspect of selectional preferences},
author = {Asad Sayeed and Clayton Greenberg and Vera Demberg},
isbn = {9781945626142},
year = {2016},
date = {2016-01-01},
journal = {Proceedings of the 1st Workshop on Evaluating Vector Space Representations for NLP},
pages = {99-105},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Demberg, Vera; Sayeed, Asad The Frequency of Rapid Pupil Dilations as a Measure of Linguistic Processing Difficulty Journal Article PLOS ONE, 11 (1), 2016. Links | BibTeX @article{demberg:sayeed:2016:plosone,
title = {The Frequency of Rapid Pupil Dilations as a Measure of Linguistic Processing Difficulty},
author = {Vera Demberg and Asad Sayeed},
editor = {Emmanuel Andreas Stamatakis},
url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4723154/},
doi = {10.1371/journal.pone.0146194},
year = {2016},
date = {2016-01-01},
journal = {PLOS ONE},
volume = {11},
number = {1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Rehbein, Ines; Scholman, Merel C J; Demberg, Vera Disco-SPICE (Spoken conversations from the SPICE-Ireland corpus annotated with discourse relations) Inproceedings Annotating discourse relations in spoken language: A comparison of the PDTB and CCR frameworks. Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 16), Portorož, Slovenia, 2016. Abstract | BibTeX @inproceedings{merel2016,
title = {Disco-SPICE (Spoken conversations from the SPICE-Ireland corpus annotated with discourse relations)},
author = {Ines Rehbein and Merel C. J. Scholman and Vera Demberg},
year = {2016},
date = {2016-01-01},
booktitle = {Annotating discourse relations in spoken language: A comparison of the PDTB and CCR frameworks. Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 16)},
address = {Portoro\v{z}, Slovenia},
abstract = {The resource contains all texts from the Broadcast interview and Telephone conversation genres from the SPICE-Ireland corpus, annotated with discourse relations according to the PDTB 3.0 and CCR frameworks. Link to the resource coming soon. Contact person: Merel Scholman},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The resource contains all texts from the Broadcast interview and Telephone conversation genres from the SPICE-Ireland corpus, annotated with discourse relations according to the PDTB 3.0 and CCR frameworks. Link to the resource coming soon. Contact person: Merel Scholman |
Rehbein, Ines; Scholman, Merel C J; Demberg, Vera Annotating Discourse Relations in Spoken Language: A Comparison of the PDTB and CCR Frameworks Inproceedings Calzolari, Nicoletta; Choukri, Khalid; Declerck, Thierry; Grobelnik, Marko; Maegaard, Bente; Mariani, Joseph; Moreno, Asuncion; Odijk, Jan; Piperidis, Stelios (Ed.): Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), European Language Resources Association (ELRA), Portorož, Slovenia, 2016, ISBN: 978-2-9517408-9-1. Links | BibTeX @inproceedings{REHBEIN16.457,
title = {Annotating Discourse Relations in Spoken Language: A Comparison of the PDTB and CCR Frameworks},
author = {Ines Rehbein and Merel C. J. Scholman and Vera Demberg},
editor = {Nicoletta Calzolari and Khalid Choukri and Thierry Declerck and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
url = {http://www.lrec-conf.org/proceedings/lrec2016/pdf/457_Paper.pdf},
isbn = {978-2-9517408-9-1},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
publisher = {European Language Resources Association (ELRA)},
address = {Portoro\v{z}, Slovenia},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Asr, Fatemeh Torabi; Demberg, Vera But vs. Although under the microscope Inproceedings Proceedings of the 38th Meeting of the Cognitive Science Society, pp. 366-371, Philadelphia, Pennsylvania, USA, 2016. BibTeX @inproceedings{Asr2016b,
title = {But vs. Although under the microscope},
author = {Fatemeh Torabi Asr and Vera Demberg},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the 38th Meeting of the Cognitive Science Society},
number = {1975},
pages = {366-371},
address = {Philadelphia, Pennsylvania, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rutherford, Attapol T; Demberg, Vera; Xue, Nianwen Neural Network Models for Implicit Discourse Relation Classification in English and Chinese without Surface Features Journal Article CoRR, abs/1606.0 , 2016. Links | BibTeX @article{DBLP:journals/corr/RutherfordDX16,
title = {Neural Network Models for Implicit Discourse Relation Classification in English and Chinese without Surface Features},
author = {Attapol T. Rutherford and Vera Demberg and Nianwen Xue},
url = {http://arxiv.org/abs/1606.01990},
year = {2016},
date = {2016-01-01},
journal = {CoRR},
volume = {abs/1606.0},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2015
|
Greenberg, Clayton; Demberg, Vera; Sayeed, Asad Verb Polysemy and Frequency Effects in Thematic Fit Modeling Inproceedings Proceedings of the 6th Workshop on Cognitive Modeling and Computational Linguistics, pp. 48-57, Association for Computational Linguistics, Denver, Colorado, 2015. Links | BibTeX @inproceedings{greenberg-demberg-sayeed:2015:CMCL,
title = {Verb Polysemy and Frequency Effects in Thematic Fit Modeling},
author = {Clayton Greenberg and Vera Demberg and Asad Sayeed},
url = {http://www.aclweb.org/anthology/W15-1106},
year = {2015},
date = {2015-06-01},
booktitle = {Proceedings of the 6th Workshop on Cognitive Modeling and Computational Linguistics},
pages = {48-57},
publisher = {Association for Computational Linguistics},
address = {Denver, Colorado},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Asr, Fatemeh Torabi; Demberg, Vera A Distributional Account of Discourse Connectives and its Effect on Fine-grained Inferences Inproceedings Text-link Conference, Louvain, Belgium., 2015. Links | BibTeX @inproceedings{asr2015distributionalApproach,
title = {A Distributional Account of Discourse Connectives and its Effect on Fine-grained Inferences},
author = {Fatemeh Torabi Asr and Vera Demberg},
url = {https://drive.google.com/file/d/0B-rEjEMoT5VoVDV6SGFEV3NxSGs/view},
year = {2015},
date = {2015-01-01},
booktitle = {Text-link Conference, Louvain, Belgium.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sayeed, Asad Representing the Effort in Resolving Ambiguous Scope Inproceedings Sinn und Bedeutung 20, Tübingen, Germany, 2015. Links | BibTeX @inproceedings{SuB2015,
title = {Representing the Effort in Resolving Ambiguous Scope},
author = {Asad Sayeed},
url = {http://www.coli.uni-saarland.de/~asayeed/vst.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Sinn und Bedeutung 20},
address = {T\"{u}bingen, Germany},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Asr, Fatemeh Torabi An Information Theoretic Approach to Production and Comprehension of Discourse Markers PhD Thesis Saarland University, 2015. Links | BibTeX @phdthesis{BentPhd05,
title = {An Information Theoretic Approach to Production and Comprehension of Discourse Markers},
author = {Fatemeh Torabi Asr},
url = {http://d-nb.info/1079840206/34},
year = {2015},
date = {2015-01-01},
school = {Saarland University},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
|
Greenberg, Clayton; Sayeed, Asad; Demberg, Vera Improving Unsupervised Vector-Space Thematic Fit Evaluation via Role-Filler Prototype Clustering Inproceedings Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 21-31, Association for Computational Linguistics, Denver, Colorado, 2015. Links | BibTeX @inproceedings{greenberg-sayeed-demberg:2015:NAACL-HLT,
title = {Improving Unsupervised Vector-Space Thematic Fit Evaluation via Role-Filler Prototype Clustering},
author = {Clayton Greenberg and Asad Sayeed and Vera Demberg},
url = {http://www.aclweb.org/anthology/N15-1003},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
pages = {21-31},
publisher = {Association for Computational Linguistics},
address = {Denver, Colorado},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Asr, Fatemeh Torabi; Demberg, Vera A Discourse Connector's Distribution Determines Its Interpretation Inproceedings The 28th CUNY Conference on Human Sentence Processing 2015, 2015. Links | BibTeX @inproceedings{asr2015interpretation,
title = {A Discourse Connector's Distribution Determines Its Interpretation},
author = {Fatemeh Torabi Asr and Vera Demberg},
url = {http://www.coli.uni-saarland.de/~fatemeh/CUNY2015_abstract.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {The 28th CUNY Conference on Human Sentence Processing 2015},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Asr, Fatemeh Torabi; Demberg, Vera Uniform Information Density at the Level of Discourse Relations: Negation Markers and Discourse Connective Omission Inproceedings IWCS 2015, pp. 118, 2015. Links | BibTeX @inproceedings{asr2015uniform,
title = {Uniform Information Density at the Level of Discourse Relations: Negation Markers and Discourse Connective Omission},
author = {Fatemeh Torabi Asr and Vera Demberg},
url = {http://www.coli.uni-saarland.de/~fatemeh/iwcs2015.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {IWCS 2015},
pages = {118},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Demberg, Vera; Asr, Fatemeh Torabi; Rohde, Hannah; Scholman, Merel C J Discourse Expectations Raised by Contrastive Connectives Inproceedings Conference on Discourse Expectations: Theoretical, Experimental, and Computational Perspectives (DETEC), 2015. Links | BibTeX @inproceedings{demberg2015contrastive,
title = {Discourse Expectations Raised by Contrastive Connectives},
author = {Vera Demberg and Fatemeh Torabi Asr and Hannah Rohde and Merel C. J. Scholman },
url = {https://detec2015.files.wordpress.com/2015/05/demberg.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Conference on Discourse Expectations: Theoretical, Experimental, and Computational Perspectives (DETEC)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sayeed, Asad; Fischer, Stefan; Demberg, Vera To What Extent Do We Adapt Spoken Word Durations to a Domain? Inproceedings Architectures and mechanisms for language processing (AMLaP), Malta, 2015. BibTeX @inproceedings{AMLaP2015a,
title = {To What Extent Do We Adapt Spoken Word Durations to a Domain?},
author = {Asad Sayeed and Stefan Fischer and Vera Demberg},
year = {2015},
date = {2015-01-01},
booktitle = {Architectures and mechanisms for language processing (AMLaP)},
address = {Malta},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sayeed, Asad; Demberg, Vera; Shkadzko, Pavel An Exploration of Semantic Features in an Unsupervised Thematic Fit Evaluation Framework Conference IJCoL: Emerging Topics at the First Italian Conference on Computational Linguistics, 1 , 2015. Links | BibTeX @conference{sayeed:demberg:shkadzko:2015:IJCOL,
title = {An Exploration of Semantic Features in an Unsupervised Thematic Fit Evaluation Framework},
author = {Asad Sayeed and Vera Demberg and Pavel Shkadzko},
url = {https://books.google.de/books?id=7cQfCwAAQBAJ&pg=PP1&lpg=PP1&dq=IJCoL+vol.+1:+Emerging+Topics+at+the+First+Italian+Conference+on+Computational+Linguistics&source=bl&ots=EOsKQ8pYxQ&sig=iKJBYtkDQ_5D0VyiZxXYmP4pxx4&hl=en&sa=X&},
year = {2015},
date = {2015-01-01},
booktitle = {IJCoL: Emerging Topics at the First Italian Conference on Computational Linguistics},
volume = {1},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
