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Matching structure for dual learning
Many natural language processing (NLP) tasks appear in dual forms, which are generally
solved by dual learning technique that models the dualities between the coupled tasks. In …
solved by dual learning technique that models the dualities between the coupled tasks. In …
Lightgt: A light graph transformer for multimedia recommendation
Multimedia recommendation methods aim to discover the user preference on the multi-
modal information to enhance the collaborative filtering (CF) based recommender system …
modal information to enhance the collaborative filtering (CF) based recommender system …
Knowledge-enhanced event relation extraction via event ontology prompt
Identifying temporal and subevent relationships between different events (ie, event relation
extraction) is an important step towards event-centric natural language processing, which …
extraction) is an important step towards event-centric natural language processing, which …
OneEE: A one-stage framework for fast overlap** and nested event extraction
Event extraction (EE) is an essential task of information extraction, which aims to extract
structured event information from unstructured text. Most prior work focuses on extracting flat …
structured event information from unstructured text. Most prior work focuses on extracting flat …
Entity-centered cross-document relation extraction
Relation Extraction (RE) is a fundamental task of information extraction, which has attracted
a large amount of research attention. Previous studies focus on extracting the relations …
a large amount of research attention. Previous studies focus on extracting the relations …
Learn from syntax: Improving pair-wise aspect and opinion terms extractionwith rich syntactic knowledge
In this paper, we propose to enhance the pair-wise aspect and opinion terms extraction
(PAOTE) task by incorporating rich syntactic knowledge. We first build a syntax fusion …
(PAOTE) task by incorporating rich syntactic knowledge. We first build a syntax fusion …
On the robustness of aspect-based sentiment analysis: Rethinking model, data, and training
Aspect-based sentiment analysis (ABSA) aims at automatically inferring the specific
sentiment polarities toward certain aspects of products or services behind the social media …
sentiment polarities toward certain aspects of products or services behind the social media …
Diaasq: A benchmark of conversational aspect-based sentiment quadruple analysis
The rapid development of aspect-based sentiment analysis (ABSA) within recent decades
shows great potential for real-world society. The current ABSA works, however, are mostly …
shows great potential for real-world society. The current ABSA works, however, are mostly …
One question answering model for many languages with cross-lingual dense passage retrieval
Abstract We present Cross-lingual Open-Retrieval Answer Generation (CORA), the first
unified many-to-many question answering (QA) model that can answer questions across …
unified many-to-many question answering (QA) model that can answer questions across …
Encoder-decoder based unified semantic role labeling with label-aware syntax
Currently the unified semantic role labeling (SRL) that achieves predicate identification and
argument role labeling in an end-to-end manner has received growing interests. Recent …
argument role labeling in an end-to-end manner has received growing interests. Recent …