Search Results for author: Nianwen Xue

Found 59 papers, 10 papers with code

UMR-Writer: A Web Application for Annotating Uniform Meaning Representations

no code implementations EMNLP (ACL) 2021 Jin Zhao, Nianwen Xue, Jens Van Gysel, Jinho D. Choi

We present UMR-Writer, a web-based application for annotating Uniform Meaning Representations (UMR), a graph-based, cross-linguistically applicable semantic representation developed recently to support the development of interpretable natural language applications that require deep semantic analysis of texts.

Annotating Temporal Dependency Graphs via Crowdsourcing

no code implementations EMNLP 2020 Jiarui Yao, Haoling Qiu, Bonan Min, Nianwen Xue

We present the construction of a corpus of 500 Wikinews articles annotated with temporal dependency graphs (TDGs) that can be used to train systems to understand temporal relations in text.

Modal Dependency Parsing via Language Model Priming

1 code implementation NAACL 2022 Jiarui Yao, Nianwen Xue, Bonan Min

The task of modal dependency parsing aims to parse a text into its modal dependency structure, which is a representation for the factuality of events in the text.

Dependency Parsing Language Modelling

Building a Chinese AMR Bank with Concept and Relation Alignments

no code implementations LILT 2019 Bin Li, Yuan Wen, Li Song, Weiguang Qu, Nianwen Xue

One significant change we have made to the AMR annotation methodology is the inclusion of the alignment between word tokens in the sentence and the concepts/relations in the CAMR annotation to make it easier for automatic parsers to model the correspondence between a sentence and its meaning representation.

Relation Sentence

A Kind Introduction to Lexical and Grammatical Aspect, with a Survey of Computational Approaches

no code implementations18 Aug 2022 Annemarie Friedrich, Nianwen Xue, Alexis Palmer

This includes whether a situation is described as a state or as an event, whether the situation is finished or ongoing, and whether it is viewed as a whole or with a focus on a particular phase.

Factuality Assessment as Modal Dependency Parsing

1 code implementation ACL 2021 Jiarui Yao, Haoling Qiu, Jin Zhao, Bonan Min, Nianwen Xue

In this paper, we frame factuality assessment as a modal dependency parsing task that identifies the events and their sources, formally known as conceivers, and then determine the level of certainty that the sources are asserting with respect to the events.

Dependency Parsing Fact Checking

A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech

1 code implementation ACL 2021 Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen

A second (multi-relational) GCN is then applied to the utterance states to produce a discourse relation-augmented representation for the utterances, which are then fused together with token states in each utterance as input to a dropped pronoun recovery layer.

Discourse Parsing

MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing

no code implementations CONLL 2020 Stephan Oepen, Omri Abend, Lasha Abzianidze, Johan Bos, Jan Hajic, Daniel Hershcovich, Bin Li, Tim O{'}Gorman, Nianwen Xue, Daniel Zeman

Extending a similar setup from the previous year, five distinct approaches to the representation of sentence meaning in the form of directed graphs were represented in the English training and evaluation data for the task, packaged in a uniform graph abstraction and serialization; for four of these representation frameworks, additional training and evaluation data was provided for one additional language per framework.

Sentence

Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields

1 code implementation Findings of the Association for Computational Linguistics 2020 Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue

Exploratory analysis also demonstrates that the GCRF did help to capture the dependencies between pronouns in neighboring utterances, thus contributes to the performance improvements.

Machine Translation Translation

MRP 2019: Cross-Framework Meaning Representation Parsing

no code implementations CONLL 2019 Stephan Oepen, Omri Abend, Jan Hajic, Daniel Hershcovich, Marco Kuhlmann, Tim O{'}Gorman, Nianwen Xue, Jayeol Chun, Milan Straka, Zdenka Uresova

The 2019 Shared Task at the Conference for Computational Language Learning (CoNLL) was devoted to Meaning Representation Parsing (MRP) across frameworks.

Sentence

Modeling Quantification and Scope in Abstract Meaning Representations

no code implementations WS 2019 James Pustejovsky, Ken Lai, Nianwen Xue

In this paper, we propose an extension to Abstract Meaning Representations (AMRs) to encode scope information of quantifiers and negation, in a way that overcomes the semantic gaps of the schema while maintaining its cognitive simplicity.

Negation

Parsing Meaning Representations: Is Easier Always Better?

no code implementations WS 2019 Zi Lin, Nianwen Xue

The parsing accuracy varies a great deal for different meaning representations.

Acquiring Structured Temporal Representation via Crowdsourcing: A Feasibility Study

no code implementations SEMEVAL 2019 Yuchen Zhang, Nianwen Xue

Temporal Dependency Trees are a structured temporal representation that represents temporal relations among time expressions and events in a text as a dependency tree structure.

Recovering Dropped Pronouns in Chinese Conversations via Modeling Their Referents

1 code implementation NAACL 2019 Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, Nianwen Xue

Pronouns are often dropped in Chinese sentences, and this happens more frequently in conversational genres as their referents can be easily understood from context.

Machine Translation Sentence +1

Neural Ranking Models for Temporal Dependency Structure Parsing

2 code implementations EMNLP 2018 Yuchen Zhang, Nianwen Xue

In a parsing-only evaluation setup where gold time expressions and events are provided, our parser reaches 0. 81 and 0. 70 f-score on unlabeled and labeled parsing respectively, a result that is very competitive against alternative approaches.

Feature Engineering

Structured Interpretation of Temporal Relations

2 code implementations LREC 2018 Yuchen Zhang, Nianwen Xue

Temporal relations between events and time expressions in a document are often modeled in an unstructured manner where relations between individual pairs of time expressions and events are considered in isolation.

Getting the Most out of AMR Parsing

no code implementations EMNLP 2017 Chuan Wang, Nianwen Xue

This paper proposes to tackle the AMR parsing bottleneck by improving two components of an AMR parser: concept identification and alignment.

AMR Parsing Concept Alignment +3

Translation Divergences in Chinese--English Machine Translation: An Empirical Investigation

no code implementations CL 2017 Dun Deng, Nianwen Xue

In this article, we conduct an empirical investigation of translation divergences between Chinese and English relying on a parallel treebank.

Machine Translation Translation

A Systematic Study of Neural Discourse Models for Implicit Discourse Relation

no code implementations EACL 2017 Attapol Rutherford, Vera Demberg, Nianwen Xue

Here, we propose neural network models that are based on feedforward and long-short term memory architecture and systematically study the effects of varying structures.

Discourse Parsing Relation

Towards Accurate Word Segmentation for Chinese Patents

no code implementations30 Nov 2016 Si Li, Nianwen Xue

A patent is a property right for an invention granted by the government to the inventor.

Chinese Word Segmentation Domain Adaptation +1

Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech

no code implementations LREC 2014 Nianwen Xue, Ond{\v{r}}ej Bojar, Jan Haji{\v{c}}, Martha Palmer, Zde{\v{n}}ka Ure{\v{s}}ov{\'a}, Xiuhong Zhang

Abstract Meaning Representations (AMRs) are rooted, directional and labeled graphs that abstract away from morpho-syntactic idiosyncrasies such as word category (verbs and nouns), word order, and function words (determiners, some prepositions).

Machine Translation Semantic Parsing +2

Buy one get one free: Distant annotation of Chinese tense, event type and modality

no code implementations LREC 2014 Nianwen Xue, Yuchen Zhang

We describe a {``}distant annotation{''} method where we mark up the semantic tense, event type, and modality of Chinese events via a word-aligned parallel corpus.

Machine Translation Vocal Bursts Type Prediction +1

Annotating dropped pronouns in Chinese newswire text

no code implementations LREC 2012 Elizabeth Baran, Yaqin Yang, Nianwen Xue

These abstract pronouns are identified as ''''''``unspecified'''''''', ''''''``pleonastic'''''''', ''''''``event'''''''', and ''''''``existential'''''''' and are argued to exist cross-linguistically.

Machine Translation Translation

Parallel Aligned Treebanks at LDC: New Challenges Interfacing Existing Infrastructures

no code implementations LREC 2012 Xuansong Li, Stephanie Strassel, Stephen Grimes, Safa Ismael, Mohamed Maamouri, Ann Bies, Nianwen Xue

Parallel aligned treebanks (PAT) are linguistic corpora annotated with morphological and syntactic structures that are aligned at sentence as well as sub-sentence levels.

Machine Translation Sentence +2

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