The goal of argumentation mining, an evolving research field in computational linguistics, is
to design methods capable of analyzing people's argumentation. In this article, we go …

The energy efficiency of accelerating hundreds of MB-large deep neural networks (DNNs) in
a mobile environment is less than that of a server-class big chip accelerator because of the …

We describe research carried out as part of a text summarisation project for the legal domain
for which we use a new XML corpus of judgments of the UK House of Lords. These …

Natural language decisions often involve assigning values to sets of variables, representing
low-level decisions and context-dependent disambiguation. In most cases there are …

We present a system for the semantic role labeling task. The system combines a machine
learning technique with an inference procedure based on integer linear programming that …

This paper presents a system to detect multiple intents (MIs) in an input sentence when only
single-intent (SI)-labeled training data are available. To solve the problem, this paper …

We present a unified technique to solve different shallow parsing tasks as a tagging problem
using a Hidden Markov Model-based approach (HMM). This technique consists of the …

There has been an increase in the amount of multilingual text on the Internet due to the
proliferation of news sources and blogs. The Urdu language, in particular, has experienced …

We present memory-based learning approaches to shallow parsing and apply these to five
tasks: base noun phrase identification, arbitrary base phrase recognition, clause detection …

Featured Application Hierarchical clause annotation could be applied in many downstream
tasks of natural language processing, including abstract meaning representation parsing …