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Found 59 papers, 9 papers with code
ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT
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.
Inconsistency Detection in Semantic Annotation
Automatically finding these inconsistencies and correcting them (even manually) can increase the quality of the data.
Annotating Discourse Relations with the PDTB Annotator
The PDTB Annotator is a tool for annotating and adjudicating discourse relations based on the annotation framework of the Penn Discourse TreeBank (PDTB).
Universal Dependencies to Logical Forms with Negation Scope
Many language technology applications would benefit from the ability to represent negation and its scope on top of widely-used linguistic resources.
Discourse Relations and Conjoined VPs: Automated Sense Recognition
Sense classification of discourse relations is a sub-task of shallow discourse parsing.
Detecting negation scope is easy, except when it isn't
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
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
In particular, the use of a character-based model allows us to capture characteristics of negation cues in Chinese using word-embedding information only.
Edina: Building an Open Domain Socialbot with Self-dialogues
We present Edina, the University of Edinburgh's social bot for the Amazon Alexa Prize competition.
Evaluating Machine Translation Performance on Chinese Idioms with a Blacklist Method
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.
Discourse Coherence: Concurrent Explicit and Implicit Relations
Theories of discourse coherence posit relations between discourse segments as a key feature of coherent text.
Talking to myself: self-dialogues as data for conversational agents
Conversational agents are gaining popularity with the increasing ubiquity of smart devices.
Getting to ``Hearer-old'': Charting Referring Expressions Across Time
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).
Neural Networks for Cross-lingual Negation Scope Detection
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.
Ambiguity in Explicit Discourse Connectives
Discourse connectives are known to be subject to both usage and sense ambiguity, as has already been discussed in the literature.
A Framework for Annotating `Related Works' to Support Feedback to Novice Writers
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.
A survey of cross-lingual features for zero-shot cross-lingual semantic parsing
The availability of corpora to train semantic parsers in English has lead to significant advances in the field.
Classifying Author Intention for Writer Feedback in Related Work
The ability to produce high-quality publishable material is critical to academic success but many Post-Graduate students struggle to learn to do so.
GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue
Ellipsis and co-reference are common and ubiquitous especially in multi-turn dialogues.
Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction
We describe the design, the evaluation setup, and the results of the 2016 WMT shared task on cross-lingual pronoun prediction.
Shallow Discourse Annotation for Chinese TED Talks
Text corpora annotated with language-related properties are an important resource for the development of Language Technology.
Reducing Quantity Hallucinations in Abstractive Summarization
It is well-known that abstractive summaries are subject to hallucination---including material that is not supported by the original text.
Extending Implicit Discourse Relation Recognition to the PDTB-3
The PDTB-3 contains many more Implicit discourse relations than the previous PDTB-2.
Querent Intent in Multi-Sentence Questions
Multi-sentence questions (MSQs) are sequences of questions connected by relations which, unlike sequences of standalone questions, need to be answered as a unit.
Refocusing on Relevance: Personalization in NLG
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.
Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits
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.
Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future
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.
Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations
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.
A Joint Matrix Factorization Analysis of Multilingual Representations
Using this tool, we study to what extent and how morphosyntactic features are reflected in the representations learned by multilingual pre-trained models.
Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs
To foster progress in this domain, we hold a new shared task at WMT 2023, the first edition of the Discourse-Level Literary Translation.
TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks
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.
Kathy McKeown Interviews 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.
Bridging Question Answering and Discourse The case of Multi-Sentence Questions
In human question-answering (QA), questions are often expressed in the form of multiple sentences.
Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic Parsing
The availability of corpora has led to significant advances in training semantic parsers in English.
