147 citations · 1k across the 56 of their papers we have counts for
9 papers · 1 filter
Dice Loss for Data-imbalanced NLP Tasks
Xiaoya Li, Xiaofei Sun, Yuxian Meng +4
Many NLP tasks such as tagging and machine reading comprehension are faced with the severe data imbalance issue: negative examples significantly outnumber positive examples, and th…
Coreference Resolution as Query-based Span Prediction
Wei Wu, Fei Wang, Arianna Yuan +2
In this paper, we present an accurate and extensible approach for the coreference resolution task. We formulate the problem as a span prediction task, like in machine reading compr…
Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs
Yuxian Meng, Xiangyuan Ren, Zijun Sun +4
In this paper, we investigate the problem of training neural machine translation (NMT) systems with a dataset of more than 40 billion bilingual sentence pairs, which is larger than…
A Unified MRC Framework for Named Entity Recognition
Xiaoya Li, Jingrong Feng, Yuxian Meng +4
The task of named entity recognition (NER) is normally divided into nested NER and flat NER depending on whether named entities are nested or not. Models are usually separately dev…
Query-Based Named Entity Recognition
Yuxian Meng, Xiaoya Li, Zijun Sun +1
In this paper, we propose a new strategy for the task of named entity recognition (NER). We cast the task as a query-based machine reading comprehension task: e.g., the task of ext…
DSReg: Using Distant Supervision as a Regularizer
Yuxian Meng, Muyu Li, Xiaoya Li +2
In this paper, we aim at tackling a general issue in NLP tasks where some of the negative examples are highly similar to the positive examples, i.e., hard-negative examples. We pro…
Entity-Relation Extraction as Multi-Turn Question Answering
Xiaoya Li, Fan Yin, Zijun Sun +6
In this paper, we propose a new paradigm for the task of entity-relation extraction. We cast the task as a multi-turn question answering problem, i.e., the extraction of entities a…
Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
Xiaoya Li, Yuxian Meng, Xiaofei Sun +3
Segmenting a chunk of text into words is usually the first step of processing Chinese text, but its necessity has rarely been explored. In this paper, we ask the fundamental questi…
Glyce: Glyph-vectors for Chinese Character Representations
Yuxian Meng, Wei Wu, Fei Wang +8
It is intuitive that NLP tasks for logographic languages like Chinese should benefit from the use of the glyph information in those languages. However, due to the lack of rich pict…