Objective. Deep learning (DL) networks are increasingly attracting attention across various
fields, including electroencephalography (EEG) signal processing. These models provide …

We present TARGER, an open source neural argument mining framework for tagging
arguments in free input texts and for keyword-based retrieval of arguments from an …

Purpose It has been over a year since the first known case of coronavirus disease (COVID-
19) emerged, yet the pandemic is far from over. To date, the coronavirus pandemic has …

We tackle the tasks of automatically identifying comparative sentences and categorizing the
intended preference (eg," Python has better NLP libraries than MATLAB"=>(Python, better …

The field of natural language processing (NLP) is contemporaneous with computers.
Machine translation systems were developed as early as the 1950s, and the widespread …

We present CAM (comparative argumentative machine), a novel open-domain IR system to
argumentatively compare objects with respect to information extracted from the Common …

We use dependency triples automatically extracted from a Web-scale corpus to perform
unsupervised semantic frame induction. We cast the frame induction problem as a …

We present a system for answering comparative questions (Is X better than Y with respect to
Z?) in natural language. Answering such questions is important for assisting humans in …

The rapid proliferation of artificial intelligence has led to the development of sophisticated
cutting-edge systems in natural language processing and computational linguistics …

Discourse analysis is an important task because it models intrinsic semantic structures
between sentences in a document. Discourse markers are natural representations of …