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Found 59 papers, 10 papers with code
Modal Dependency Parsing via Language Model Priming
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.
Building a Chinese AMR Bank with Concept and Relation Alignments
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.
UMR-Writer: A Web Application for Annotating Uniform Meaning Representations
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
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.
A Kind Introduction to Lexical and Grammatical Aspect, with a Survey of Computational Approaches
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
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.
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech
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.
Ranked #5 on
Discourse Parsing
on STAC
MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing
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.
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields
Exploratory analysis also demonstrates that the GCRF did help to capture the dependencies between pronouns in neighboring utterances, thus contributes to the performance improvements.
MRP 2019: Cross-Framework Meaning Representation Parsing
The 2019 Shared Task at the Conference for Computational Language Learning (CoNLL) was devoted to Meaning Representation Parsing (MRP) across frameworks.
Parsing Meaning Representations: Is Easier Always Better?
The parsing accuracy varies a great deal for different meaning representations.
Modeling Quantification and Scope in Abstract Meaning Representations
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.
Acquiring Structured Temporal Representation via Crowdsourcing: A Feasibility Study
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
Pronouns are often dropped in Chinese sentences, and this happens more frequently in conversational genres as their referents can be easily understood from context.
Neural Ranking Models for Temporal Dependency Structure Parsing
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.
Structured Interpretation of Temporal Relations
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.
Transition-Based Chinese AMR Parsing
This paper presents the first AMR parser built on the Chinese AMR bank.
Getting the Most out of AMR Parsing
This paper proposes to tackle the AMR parsing bottleneck by improving two components of an AMR parser: concept identification and alignment.
Ranked #7 on
AMR Parsing
on LDC2014T12
Translation Divergences in Chinese--English Machine Translation: An Empirical Investigation
In this article, we conduct an empirical investigation of translation divergences between Chinese and English relying on a parallel treebank.
A Systematic Study of Neural Discourse Models for Implicit Discourse Relation
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.
Addressing the Data Sparsity Issue in Neural AMR Parsing
Neural attention models have achieved great success in different NLP tasks.
Towards Accurate Word Segmentation for Chinese Patents
A patent is a property right for an invention granted by the government to the inventor.
Neural Network Models for Implicit Discourse Relation Classification in English and Chinese without Surface Features
Inferring implicit discourse relations in natural language text is the most difficult subtask in discourse parsing.
Large Multi-lingual, Multi-level and Multi-genre Annotation Corpus
High accuracy for automated translation and information retrieval calls for linguistic annotations at various language levels.
Buy one get one free: Distant annotation of Chinese tense, event type and modality
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.
Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech
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).
Parallel Aligned Treebanks at LDC: New Challenges Interfacing Existing Infrastructures
Parallel aligned treebanks (PAT) are linguistic corpora annotated with morphological and syntactic structures that are aligned at sentence as well as sub-sentence levels.
Annotating dropped pronouns in Chinese newswire text
These abstract pronouns are identified as ''''''``unspecified'''''''', ''''''``pleonastic'''''''', ''''''``event'''''''', and ''''''``existential'''''''' and are argued to exist cross-linguistically.
