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Found 11 papers, 4 papers with code
Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy
We use this framework to report baseline intent discovery results over VIRADialogs, that highlight the difficulty of this task.
A Search Engine for Discovery of Scientific Challenges and Directions
To address this problem, we present a novel task of extraction and search of scientific challenges and directions, to facilitate rapid knowledge discovery.
MultiModalQA: Complex Question Answering over Text, Tables and Images
When answering complex questions, people can seamlessly combine information from visual, textual and tabular sources.
Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis
Recent work has proposed to summarize arguments by mapping them to a small set of expert-generated key points, where the salience of each key point corresponds to the number of its matching arguments.
Interactive Extractive Search over Biomedical Corpora
We present a system that allows life-science researchers to search a linguistically annotated corpus of scientific texts using patterns over dependency graphs, as well as using patterns over token sequences and a powerful variant of boolean keyword queries.
From Arguments to Key Points: Towards Automatic Argument Summarization
Generating a concise summary from a large collection of arguments on a given topic is an intriguing yet understudied problem.
Out of the Echo Chamber: Detecting Countering Debate Speeches
An educated and informed consumption of media content has become a challenge in modern times.
A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis
To this end, we created a corpus of 30, 497 arguments carefully annotated for point-wise quality, released as part of this work.
Automatic Argument Quality Assessment - New Datasets and Methods
In spite of the inherent subjective nature of the task, both annotation schemes led to surprisingly consistent results.
Automatic Argument Quality Assessment -- New Datasets and Methods
In spite of the inherent subjective nature of the task, both annotation schemes led to surprisingly consistent results.
Argument Invention from First Principles
In this work we aim to explicitly define a taxonomy of such principled recurring arguments, and, given a controversial topic, to automatically identify which of these arguments are relevant to the topic.
