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20162022
most citedApproximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0)

31 citations · 56 across the 9 of their papers we have counts for

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Showing cs.CLShow all

6 papers · 1 filter

cs.CL2021

Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations

Shifeng Liu, Yifang Sun, Bing Li +3

The rapid growth in published clinical trials makes it difficult to maintain up-to-date systematic reviews, which requires finding all relevant trials. This leads to policy and pra…

cs.CL2021

FGNET-RH: Fine-Grained Named Entity Typing via Refinement in Hyperbolic Space

Muhammad Asif Ali, Yifang Sun, Bing Li +1

Fine-Grained Named Entity Typing (FG-NET) aims at classifying the entity mentions into a wide range of entity types (usually hundreds) depending upon the context. While distant sup…

cs.CL2020

Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations

Muhammad Asif Ali, Yifang Sun, Bing Li +1

Fine-Grained Named Entity Typing (FG-NET) is a key component in Natural Language Processing (NLP). It aims at classifying an entity mention into a wide range of entity types. Due t…

cs.CL2019★ 2 cited

HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition

Shifeng Liu, Yifang Sun, Bing Li +2

To tackle Named Entity Recognition (NER) tasks, supervised methods need to obtain sufficient cleanly annotated data, which is labor and time consuming. On the contrary, distantly s…

cs.CL2019★ 2 cited

Antonym-Synonym Classification Based on New Sub-space Embeddings

Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou +2

Distinguishing antonyms from synonyms is a key challenge for many NLP applications focused on the lexical-semantic relation extraction. Existing solutions relying on large-scale co…

cs.CL2019★ 2 cited

How to best use Syntax in Semantic Role Labelling

Yufei Wang, Mark Johnson, Stephen Wan +2

There are many different ways in which external information might be used in an NLP task. This paper investigates how external syntactic information can be used most effectively in…