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[PDF] Top 20 Automatic Article Commenting: the Task and Dataset

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Automatic Article Commenting: the Task and Dataset

Automatic Article Commenting: the Task and Dataset

... the article, a set of reader comments, and side information (omitted in the example) in- cluding the article category assigned by editors, and the number of user upvotes of each ...The dataset has a ... See full document

6

Fact Checking: Task definition and dataset construction

Fact Checking: Task definition and dataset construction

... the task of fact checking, ...The task is commonly performed manually by journalists verify- ing the claims made by public ...the task and detail the construction of a publicly available ... See full document

5

Analysis and Insights from the PARSEME Shared Task dataset

Analysis and Insights from the PARSEME Shared Task dataset

... Several patterns have emerged from the evaluation results in this pioneer- ing shared task. One is that individual systems tend to perform very differently across languages (inter-language performance) and yet ... See full document

28

A Search Task Dataset for German Textual Entailment

A Search Task Dataset for German Textual Entailment

... the dataset which can be applied to other languages and data sources in order to create comparable datasets quickly and at modest ...the dataset; as for validation, we found that three judgments were ... See full document

11

LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts

LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts

... a dataset for the task of paraphrasing, and MSR- VTT (Xu et ...Bilibili dataset is derived from a wide variety of video categories (19 cate- gories), which can benefit the generalization capability ... See full document

8

UTFPR at SemEval 2019 Task 5: Hate Speech Identification with Recurrent Neural Networks

UTFPR at SemEval 2019 Task 5: Hate Speech Identification with Recurrent Neural Networks

... sub- task C with three classes (individual, group or oth- ...classification task in sub-task ...the dataset used in Offen- sEval, includes an annotation level distinguishing between the type ... See full document

5

A Taxonomy, Dataset, and Classifier for Automatic Noun Compound Interpretation

A Taxonomy, Dataset, and Classifier for Automatic Noun Compound Interpretation

... Noun compounds (e.g., ‘maple leaf’) occur very frequently in text, and their interpretation— determining the relationships between adjacent nouns as well as the hierarchical dependency structure of the NP in which they ... See full document

10

Overview of the First Content Selection Challenge from Open Semantic Web Data

Overview of the First Content Selection Challenge from Open Semantic Web Data

... The task to perform was described as follows: given a set of RDF triples contain- ing facts about a celebrity, select those triples that are reflected in the target text ...The task first required a data ... See full document

5

An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans

An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans

... We present the importance of using all variants of answers in the snippets for adapting the Bioasq dataset to machine reading task format. We show that the results can be much higher than the offi- cially ... See full document

7

MultiLing 2017 Overview

MultiLing 2017 Overview

... a task to measure the performance of multilingual, single-document, summarization systems using a dataset derived from the featured articles of 41 ...of automatic summarization techniques on text ... See full document

6

Scaling Multi Domain Dialogue State Tracking via Query Reformulation

Scaling Multi Domain Dialogue State Tracking via Query Reformulation

... On I NTERNAL dataset we show CQR significantly improves over (Naik et al., 2018) in Table 4. CQR also improves F1 for current turn slots as it can leverage context and distill necessary information to improve SLU. ... See full document

9

Task oriented Dialogue System for Automatic Diagnosis

Task oriented Dialogue System for Automatic Diagnosis

... for automatic diagno- sis. We first build a dataset collected from an online medical forum by extracting symptoms from both patients’ self-reports and conversational data between patients and ...a ... See full document

7

L HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive Language

L HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive Language

... annotation task requires labeling the tweets of L-HSAB dataset as Hate, Abusive or Nor- ...collected dataset, can resolve the ambiguity be- tween HS and abusive resulting in better inter-rater ... See full document

8

Digital Leafleting: Extracting Structured Data from Multimedia Online Flyers

Digital Leafleting: Extracting Structured Data from Multimedia Online Flyers

... a dataset for the text categorization tasks we assigned the list of manually entered la- bels for transaction and property types to each ...NER task, we had to convert the stand-alone listing information to ... See full document

10

Generating Distractors for Reading Comprehension Questions from Real Examinations

Generating Distractors for Reading Comprehension Questions from Real Examinations

... Automatic DG is different from previous distractor prepa- ration works, which basically follow an extraction-selection manner. First, a distractor candidate set is extracted from multiple sources, such as GloVe ... See full document

8

Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network

Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network

... novel task: automatic academic paper rating (AAPR), which automatically determine whether to accept academic ...new dataset for this task and propose a novel modularized hierarchical convolu- ... See full document

7

2006-SEMISH

2006-SEMISH

... the task of automatic mu- sic genre classification which is based on ensemble ...a dataset containing 600 music samples from two Latin genres (Tango and Salsa) have shown that for the task of ... See full document

7

2007-SMC

2007-SMC

... the task of automatic music genre classification which is based on multiple feature vectors and ensemble of ...large dataset containing more than 3,000 music samples from ten different Latin music ... See full document

6

Cross Modal Commentator: Automatic Machine Commenting Based on Cross Modal Information

Cross Modal Commentator: Automatic Machine Commenting Based on Cross Modal Information

... the task of cross-modal automatic commenting, which aims at enabling the AI agent to make comments by integrating multiple modal ...scale dataset for this task and implement plenty of ... See full document

7

Mother's Influence Child’s On the Speech Development in Kenya

Mother's Influence Child’s On the Speech Development in Kenya

... Young children naturally reach out for interaction through babbling, facial expressions, and gestures. Adults respond with the same kind of vocalizing and gesture back, frequently repeating and extending the baby’s ... See full document

9

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