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The Person Index Challenge: Extraction of Persons from Messy, Short Texts
MarkusSchröder, ChristianJilek, MichaelSchulze....
Published date-11/16/2020
When persons are mentioned in texts with their first name, last name and/or middle names, there can be a high variation which of their names are used, how their names …
Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment
HaoranSun, WenqiangPu, MingheZhu....
Published date-11/16/2020
ContinualLearning, fairness
There has been a growing interest in developing data-driven and in particular deep neural network (DNN) based methods for modern communication tasks. For a few popular tasks such as power …
Datasets and Models for Authorship Attribution on Italian Personal Writings
GaetanaRuggiero, AlbertGatt, MalvinaNissim....
Published date-11/16/2020
Existing research on Authorship Attribution (AA) focuses on texts for which a lot of data is available (e.g novels), mainly in English. We approach AA via Authorship Verification on short …
Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?
GuoqiangWu, JunZhu....
Published date-11/16/2020
Multi-LabelClassification
Various evaluation measures have been developed for multi-label classification, including Hamming Loss (HL), Subset Accuracy (SA) and Ranking Loss (RL). However, there is a gap between empirical results and the …
NLPGym -- A toolkit for evaluating RL agents on Natural Language Processing Tasks
RajkumarRamamurthy, RafetSifa, ChristianBauckhage....
Published date-11/16/2020
Multi-LabelClassification, OpenAIGym, QuestionAnswering
Reinforcement learning (RL) has recently shown impressive performance in complex game AI and robotics tasks. To a large extent, this is thanks to the availability of simulated environments such as …
WikiAsp: A Dataset for Multi-domain Aspect-based Summarization
HiroakiHayashi, PrashantBudania, PengWang....
Published date-11/16/2020
Aspect-based summarization is the task of generating focused summaries based on specific points of interest. Such summaries aid efficient analysis of text, such as quickly understanding reviews or opinions from …