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20182022
most citedSupervised Transfer Learning for Product Information Question Answering

19 citations · 45 across the 10 of their papers we have counts for

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13 papers · 1 filter

cs.CL20223 cited

Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking

Tuan Manh Lai, Heng Ji, ChengXiang Zhai

Entity linking (EL) is the task of linking entity mentions in a document to referent entities in a knowledge base (KB). Many previous studies focus on Wikipedia-derived KBs. There…

cs.CL20211 cited

BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks

Tuan Lai, Heng Ji, ChengXiang Zhai

Biomedical entity linking is the task of linking entity mentions in a biomedical document to referent entities in a knowledge base. Recently, many BERT-based models have been intro…

cs.CL20217 cited

A Unified Transformer-based Framework for Duplex Text Normalization

Tuan Manh Lai, Yang Zhang, Evelina Bakhturina +2

Text normalization (TN) and inverse text normalization (ITN) are essential preprocessing and postprocessing steps for text-to-speech synthesis and automatic speech recognition, res…

cs.CL20213 cited

Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference

Tuan Lai, Heng Ji, ChengXiang Zhai +1

Compared to the general news domain, information extraction (IE) from biomedical text requires much broader domain knowledge. However, many previous IE methods do not utilize any e…

cs.CL20214 cited

A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution

Tuan Lai, Heng Ji, Trung Bui +3

Event coreference resolution is an important research problem with many applications. Despite the recent remarkable success of pretrained language models, we argue that it is still…

cs.CL2020

AutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises

Nham Le, Tuan Lai, Trung Bui +1

With the renaissance of deep learning, neural networks have achieved promising results on many natural language understanding (NLU) tasks. Even though the source codes of many neur…