activity
20162023
most citedSupporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding

224 citations · 1.1k across the 33 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CL2019★ 8 cited

Building Dynamic Knowledge Graphs from Text-based Games

Mikuláš Zelinka, Xingdi Yuan, Marc-Alexandre Côté +2

We are interested in learning how to update Knowledge Graphs (KG) from text. In this preliminary work, we propose a novel Sequence-to-Sequence (Seq2Seq) architecture to generate el…

cs.AI2019★ 24 cited

Interactive Fiction Games: A Colossal Adventure

Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté +1

A hallmark of human intelligence is the ability to understand and communicate with language. Interactive Fiction games are fully text-based simulation environments where a player i…

cs.CL2019★ 17 cited

Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence

Rui Meng, Xingdi Yuan, Tong Wang +3

Recently, concatenating multiple keyphrases as a target sequence has been proposed as a new learning paradigm for keyphrase generation. Existing studies concatenate target keyphras…

cs.CL2019★ 11 cited

Interactive Language Learning by Question Answering

Xingdi Yuan, Marc-Alexandre Cote, Jie Fu +4

Humans observe and interact with the world to acquire knowledge. However, most existing machine reading comprehension (MRC) tasks miss the interactive, information-seeking componen…

cs.CL2019★ 1 cited

Interactive Machine Comprehension with Information Seeking Agents

Xingdi Yuan, Jie Fu, Marc-Alexandre Cote +3

Existing machine reading comprehension (MRC) models do not scale effectively to real-world applications like web-level information retrieval and question answering (QA). We argue t…

cs.CL2019★ 16 cited

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives

Yi Tay, Shuohang Wang, Luu Anh Tuan +6

This paper tackles the problem of reading comprehension over long narratives where documents easily span over thousands of tokens. We propose a curriculum learning (CL) based Point…