paper-conference

Translate-train is a general training approach to multilingual tasks. The key idea is to use the translator of the target language to …

Dialogue relation extraction (RE) is to predict the relation type of two entities mentioned in a dialogue. In this paper, we propose a …

Multiple-Choice Question Answering (MCQA) is a challenging task in machine reading comprehension. The main challenge in MCQA is to …

Pre-trained multilingual language models, e.g., multilingual-BERT, are widely used in cross-lingual tasks, yielding the …

Given a video, video grounding aims to retrieve a temporal moment that semantically corresponds to a language query. In this work, we …

Given a collection of untrimmed and unsegmented videos, video corpus moment retrieval (VCMR) is to retrieve a temporal moment (i.e., a …

Video grounding aims to localize a moment from an untrimmed video for a given textual query. Existing approaches focus more on the …

Relation Extraction (RE) is to predict the relation type of two entities that are mentioned in a piece of text, e.g., a sentence or a …

Ensemble learning consistently improves the performance of multi-class classification through aggregating a series of base classifiers. …

Given an untrimmed video and a text query, natural language video localization (NLVL) is to locate a matching span from the video that …