Search Results for author: Bonnie Webber

Found 57 papers, 8 papers with code

TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks

no code implementations EMNLP 2020 Wanqiu Long, Bonnie Webber, Deyi Xiong

As different genres are known to differ in their communicative properties and as previously, for Chinese, discourse relations have only been annotated over news text, we have created the TED-CDB dataset.

Transfer Learning

Kathy McKeown Interviews Bonnie Webber

no code implementations CL (ACL) 2021 Bonnie Webber

Abstract Because the 2020 ACL Lifetime Achievement Award presentation could not be done in person, we replaced the usual LTA talk with an interview between Professor Kathy McKeown (Columbia University) and the recipient, Bonnie Webber.

Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations

no code implementations6 Jan 2023 Wanqiu Long, Bonnie Webber

Implicit discourse relation recognition is a challenging task that involves identifying the sense or senses that hold between two adjacent spans of text, in the absence of an explicit connective between them.

Contrastive Learning

Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future

1 code implementation5 Jun 2022 Jan-Christoph Klie, Bonnie Webber, Iryna Gurevych

While researchers show that their approaches work well on their newly introduced datasets, they rarely compare their methods to previous work or on the same datasets.

text-classification Text Classification

Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits

no code implementations CODI 2021 Zheng Zhao, Bonnie Webber

In the PDTB-3, several thousand implicit discourse relations were newly annotated \textit{within} individual sentences, adding to the over 15, 000 implicit relations annotated \textit{across} adjacent sentences in the PDTB-2.

Discourse Parsing Implicit Relations

Refocusing on Relevance: Personalization in NLG

no code implementations EMNLP 2021 Shiran Dudy, Steven Bedrick, Bonnie Webber

Many NLG tasks such as summarization, dialogue response, or open domain question answering focus primarily on a source text in order to generate a target response.

Information Retrieval Open-Domain Question Answering +1

Querent Intent in Multi-Sentence Questions

1 code implementation COLING (LAW) 2020 Laurie Burchell, Jie Chi, Tom Hosking, Nina Markl, Bonnie Webber

Multi-sentence questions (MSQs) are sequences of questions connected by relations which, unlike sequences of standalone questions, need to be answered as a unit.

Shallow Discourse Annotation for Chinese TED Talks

1 code implementation LREC 2020 Wanqiu Long, Xinyi Cai, James E. M. Reid, Bonnie Webber, Deyi Xiong

Text corpora annotated with language-related properties are an important resource for the development of Language Technology.


Classifying Author Intention for Writer Feedback in Related Work

no code implementations RANLP 2019 Arlene Casey, Bonnie Webber, Dorota Glowacka

The ability to produce high-quality publishable material is critical to academic success but many Post-Graduate students struggle to learn to do so.

A Framework for Annotating `Related Works' to Support Feedback to Novice Writers

no code implementations WS 2019 Arlene Casey, Bonnie Webber, Dorota Glowacka

Understanding what is expected of academic writing can be difficult for novice writers to assimilate, and recent years have seen several automated tools become available to support academic writing.

Ambiguity in Explicit Discourse Connectives

no code implementations WS 2019 Bonnie Webber, Rashmi Prasad, Alan Lee

Discourse connectives are known to be subject to both usage and sense ambiguity, as has already been discussed in the literature.

Neural Networks for Cross-lingual Negation Scope Detection

no code implementations4 Oct 2018 Federico Fancellu, Adam Lopez, Bonnie Webber

Negation scope has been annotated in several English and Chinese corpora, and highly accurate models for this task in these languages have been learned from these annotations.

Cross-Lingual Word Embeddings Word Embeddings

Getting to ``Hearer-old'': Charting Referring Expressions Across Time

no code implementations EMNLP 2018 Ieva Stali{\=u}nait{\.e}, Hannah Rohde, Bonnie Webber, Annie Louis

As entities move from hearer-new (first introduction to the NYT audience) to hearer-old (common knowledge) status, we show empirically that the referring expressions along this trajectory depend on the type of the entity, and exhibit linguistic properties related to becoming common knowledge (e. g., shorter length, less use of appositives, more definiteness).

Coreference Resolution Referring Expression

Evaluating Machine Translation Performance on Chinese Idioms with a Blacklist Method

no code implementations LREC 2018 Yutong Shao, Rico Sennrich, Bonnie Webber, Federico Fancellu

Our evaluation confirms that a sizable number of idioms in our test set are mistranslated (46. 1%), that literal translation error is a common error type, and that our blacklist method is effective at identifying literal translation errors.

Machine Translation Translation +1

Detecting negation scope is easy, except when it isn't

no code implementations EACL 2017 Federico Fancellu, Adam Lopez, Bonnie Webber, Hangfeng He

Several corpora have been annotated with negation scope{---}the set of words whose meaning is negated by a cue like the word {``}not{''}{---}leading to the development of classifiers that detect negation scope with high accuracy.

Universal Dependencies to Logical Form with Negation Scope

no code implementations WS 2017 Federico Fancellu, Siva Reddy, Adam Lopez, Bonnie Webber

Many language technology applications would benefit from the ability to represent negation and its scope on top of widely-used linguistic resources.

Neural Networks for Negation Cue Detection in Chinese

no code implementations WS 2017 Hangfeng He, Federico Fancellu, Bonnie Webber

In particular, the use of a character-based model allows us to capture characteristics of negation cues in Chinese using word-embedding information only.

Feature Engineering Word Alignment

Universal Dependencies to Logical Forms with Negation Scope

1 code implementation10 Feb 2017 Federico Fancellu, Siva Reddy, Adam Lopez, Bonnie Webber

Many language technology applications would benefit from the ability to represent negation and its scope on top of widely-used linguistic resources.

Annotating Discourse Relations with the PDTB Annotator

no code implementations COLING 2016 Alan Lee, Rashmi Prasad, Bonnie Webber, Aravind K. Joshi

The PDTB Annotator is a tool for annotating and adjudicating discourse relations based on the annotation framework of the Penn Discourse TreeBank (PDTB).

Inconsistency Detection in Semantic Annotation

1 code implementation LREC 2016 Nora Hollenstein, Nathan Schneider, Bonnie Webber

Automatically finding these inconsistencies and correcting them (even manually) can increase the quality of the data.

ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT

no code implementations LREC 2014 Liane Guillou, Christian Hardmeier, Aaron Smith, J{\"o}rg Tiedemann, Bonnie Webber

We present ParCor, a parallel corpus of texts in which pronoun coreference ― reduced coreference in which pronouns are used as referring expressions ― has been annotated.

Machine Translation Translation

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