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[PDF] Top 20 A strong baseline for question relevancy ranking

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A strong baseline for question relevancy ranking

A strong baseline for question relevancy ranking

... a question-answer auxiliary task per- formed best on all metrics, except accuracy, where the multi-task MLP using all auxiliary tasks per- formed ...IR baseline used in the Se- mEval 2016 and 2017 shared ... See full document

6

An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering

An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering

... community question answering (cQA) is dominated by machine learning approaches, whose performance is often limited by the num- ber of training ...on question ranking performance: a method that swaps ... See full document

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Simple Question Answering with Subgraph Ranking and Joint Scoring

Simple Question Answering with Subgraph Ranking and Joint Scoring

... the question and the candidate facts in the subgraph and then find the best ...various strong baselines with simple neural net- works (LSTMs and GRUs) or non-neural network models ... See full document

11

A Strong Baseline for Learning Cross Lingual Word Embeddings from Sentence Alignments

A Strong Baseline for Learning Cross Lingual Word Embeddings from Sentence Alignments

... It is important to state that, in absolute terms, these results are quite poor. The fact that the best inverse AER is around 50% calls into question the ability to actually utilize these embeddings in a real-life ... See full document

10

Three-stage question answering system with sentence ranking

Three-stage question answering system with sentence ranking

... the question type was based on the clustering model kmeans. TF-IDF question representation was compressed with PCA to 50 ...the question type was the cluster ... See full document

8

On Committee Representations of Adversarial Learning Models for Question Answer Ranking

On Committee Representations of Adversarial Learning Models for Question Answer Ranking

... QA ranking that can be applied to any under- lying ranking ...all baseline QA ranking models we ...QA ranking that displays, to the best of our knowledge, state-of- the-art results on ... See full document

6

Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline

Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline

... frequent discourse such as stopwords. This ap- proach evens outperforms more complex models such as LSTMs on textual similarity tasks. Arora et al. argued that the simplicity and effectiveness of their method make it a ... See full document

10

Relevancy and Admissibility of Electronic Evidence

Relevancy and Admissibility of Electronic Evidence

... address RELEVANCY AND ADMISSIBILITY OF ELECTRONIC EVIDENCE:- The definition of „admission‟ has been changed to include a statement in oral, documentary or electronic form which suggested an inference to any fact ... See full document

7

Automatic Identification of Rhetorical Questions

Automatic Identification of Rhetorical Questions

... questions. Strong nega- tive polarity items (NPIs), also referred to as em- phatic or even-NPIs in the literature, are consid- ered definitive ...a question containing a modal auxiliary, such as could or ... See full document

7

Training a Ranking Function for Open Domain Question Answering

Training a Ranking Function for Open Domain Question Answering

... the question (Table ...in question with words in the paragraph, and does not have information about the context and word order that is important for learning ... See full document

8

Minimum Bayes Risk based Answer Re ranking for Question Answering

Minimum Bayes Risk based Answer Re ranking for Question Answering

... On the other hand, TI-QA can provide higher answer coverage, as it can extract answer candi- dates with multiple answer types. However, more answer candidates with different types bring more difficulties to the answer ... See full document

5

Evaluation of baseline information retrieval for Polish open-domain Question Answering system

Evaluation of baseline information retrieval for Polish open-domain Question Answering system

... A question must have syntactic structure of a question (rather than a string of query terms), be simple (one question per a sentence), not requiring any additional con- text for its ... See full document

8

Selecting Sentences versus Selecting Tree Constituents for Automatic Question Ranking

Selecting Sentences versus Selecting Tree Constituents for Automatic Question Ranking

... Community question answering (cQA) websites are focused on users who query questions onto an online forum, expecting for other users to provide them answers or ...of question ranking: given a user’s ... See full document

11

Ranking Model with a Reduced Feature Set for an Automated Question Generation System

Ranking Model with a Reduced Feature Set for an Automated Question Generation System

... Tilak was one of the first and strongest advocates of “Swaraj” (self-rule) and a strong radical in Indi- an consciousness. Tilak was born in a Chitpavan Brahmin family in Ratnagiri headquarters of the eponymous ... See full document

10

Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition

Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition

... Recognizing irregular text in natural scene images is chal- lenging due to the large variance in text appearance, such as curvature, orientation and distortion. Most existing ap- proaches rely heavily on sophisticated ... See full document

8

Revisiting the Centroid based Method: A Strong Baseline for Multi Document Summarization

Revisiting the Centroid based Method: A Strong Baseline for Multi Document Summarization

... Table 2 shows generated example summaries us- ing the global centroid method with the three sen- tence preselection methods. For readability, trun- cated sentences (due to the 100-word limit) at the end of the summaries ... See full document

6

A Utility Driven Approach to Question Ranking in Social QA

A Utility Driven Approach to Question Ranking in Social QA

... each question, the focus is identified automatically by an SVM tagger trained on a separate corpus of 2,000 questions manually annotated with focus in- ...a question is identified deterministi- cally using ... See full document

9

Question Ranking and Selection in Tutorial Dialogues

Question Ranking and Selection in Tutorial Dialogues

... to ranking candidate questions for a given di- alogue context and introduces an evaluation framework for this ...over baseline lexical and syntactic features to a level in agreement with the ...automatic ... See full document

11

Ranking and Sampling in Open Domain Question Answering

Ranking and Sampling in Open Domain Question Answering

... We separately evaluate our ranker by comparing it with a typical IR model 2 and SOTA mod- els which also have a ranking submodule to se- lect paragraphs, i.e. DS-QA (Lin et al., 2018), R3 (Wang et al., 2018a), FSE ... See full document

10

A Strong and Robust Baseline for Text Image Matching

A Strong and Robust Baseline for Text Image Matching

... a strong baseline, we plan to bring a certain form of self-adaptiveness into the loss function to help it automatically decide what to learn based on the distribution of data ... See full document

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