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- Andersson, Marta, et al.
(author)
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A sentiment-annotated dataset of English causal connectives
- 2020
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In: Proceedings of the 14th Linguistic Annotation Workshop. - 9781952148330 ; , s. 24-33
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Conference paper (peer-reviewed)abstract
- This paper investigates the semantic prosody of three causal connectives: due to, owing to and because of in seven varieties of the English language. While research in the domain of English causality exists, we are not aware of studies that would cover the domain of causal connectives in English. Our claim is that connectives such as because of link two arguments, (at least) one of which will include a phrase that contributes to the interpretation of the relation as positive or negative, and hence define the prosody of the connective used. As our results demonstrate, the majority of the prosodies identified are negative for all three connectives; the proportions are stable across the varieties of English studied, and contrary to our expectations, we find no significant differences between the functions of the connectives and discourse preferences. Further, we investigate whether automatizing the sentiment annotation procedure via a simple language-model based classifier is possible. The initial results highlights the complexity of the task and the need for complicated systems, probably aided with other related datasets to achieve reasonable performance.
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| 2. |
- Kurfali, Murathan, 1990-, et al.
(author)
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A Multi-Word Expression Dataset for Swedish
- 2020
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In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). - Marseille : European Language Resources Association (ELRA). ; , s. 4402-4409
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Conference paper (peer-reviewed)abstract
- We present a new set of 96 Swedish multi-word expressions annotated with degree of (non-)compositionality. In contrast to most previous compositionality datasets we also consider syntactically complex constructions and publish a formal specification of each expression. This allows evaluation of computational models beyond word bigrams, which have so far been the norm. Finally, we use the annotations to evaluate a system for automatic compositionality estimation based on distributional semantics. Our analysis of the disagreements between human annotators and the distributional model reveal interesting questions related to the perception of compositionality, and should be informative to future work in the area.
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| 4. |
- Kurfali, Murathan, 1990-
(author)
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Labeling Explicit Discourse Relations Using Pre-trained Language Models
- 2020
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In: Text, Speech, and Dialogue. - Cham : Springer. - 9783030583231 - 9783030583224 ; , s. 79-86
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Book chapter (peer-reviewed)abstract
- Labeling explicit discourse relations is one of the most challenging sub-tasks of the shallow discourse parsing where the goal is to identify the discourse connectives and the boundaries of their arguments. The state-of-the-art models achieve slightly above 45% of F-score by using hand-crafted features. The current paper investigates the efficacy of the pre-trained language models in this task. We find that the pre-trained language models, when finetuned, are powerful enough to replace the linguistic features. We evaluate our model on PDTB 2.0 and report the state-of-the-art results in extraction of the full relation. This is the first time when a model outperforms the knowledge intensive models without employing any linguistic features.
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| 5. |
- Kurfali, Murathan, 1990-, et al.
(author)
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TED-MDB Lexicons : Tr-EnConnLex, Pt-EnConnLex
- 2020
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In: the First Workshop on Computational Approaches to Discourse. - Stroudsburg, PA, USA : Association for Computational Linguistics.
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Conference paper (peer-reviewed)abstract
- In this work, we present two new bilingual discourse connective lexicons, namely,for Turkish-English and European PortugueseEnglish created automatically using the existing discourse relation-aligned TED-MDB corpus. In their current form, the Pt-En lexiconincludes 95 entries, whereas the Tr-En lexiconcontains 133 entries. The lexicons constitutethe first step of a larger project of developing amultilingual discourse connective lexicon.
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| 8. |
- Zeyrek, Deniz, et al.
(author)
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TED Multilingual Discourse Bank (TED-MDB) : a parallel corpus annotated in the PDTB style
- 2020
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In: Language resources and evaluation. - : Springer Science and Business Media LLC. - 1574-020X .- 1574-0218. ; 54, s. 587-613
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Journal article (peer-reviewed)abstract
- TED-Multilingual Discourse Bank, or TED-MDB, is a multilingual resource where TED-talks are annotated at the discourse level in 6 languages (English, Polish, German, Russian, European Portuguese, and Turkish) following the aims and principles of PDTB. We explain the corpus design criteria, which has three main features: the linguistic characteristics of the languages involved, the interactive nature of TED talks—which led us to annotate Hypophora, and the decision to avoid projection. We report our annotation consistency, and post-annotation alignment experiments, and provide a cross-lingual comparison based on corpus statistics.
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