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[PDF] Top 20 Learning Matching Models with Weak Supervision for Response Selection in Retrieval based Chatbots

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Learning Matching Models with Weak Supervision for Response Selection in Retrieval based Chatbots

Learning Matching Models with Weak Supervision for Response Selection in Retrieval based Chatbots

... proper response for a post in Weibo 2 ...a matching model with TF-IDF based cosine similarity using RankSVM whose parameters are chosen by 5-fold cross vali- ...the models compared on the data ... See full document

6

Sequential Matching Network: A New Architecture for Multi turn Response Selection in Retrieval Based Chatbots

Sequential Matching Network: A New Architecture for Multi turn Response Selection in Retrieval Based Chatbots

... study response selection for multi- turn conversation in retrieval-based chat- ...a response with a highly abstract context vector fi- nally, which may lose relationships among ... See full document

10

Learning a Matching Model with Co teaching for Multi turn Response Selection in Retrieval based Dialogue Systems

Learning a Matching Model with Co teaching for Multi turn Response Selection in Retrieval based Dialogue Systems

... a matching model s(·, ·), one needs to deal with two problems: (1) how to define s(·, ·); and (2) how to learn s(·, ...negative response candidates are auto- matically constructed ...ing models only ... See full document

11

Multi hop Selector Network for Multi turn Response Selection in Retrieval based Chatbots

Multi hop Selector Network for Multi turn Response Selection in Retrieval based Chatbots

... on response selection for single-turn conver- ...related response from a set of candidates given the context utterances of a con- ...effective models, such as Sequen- tial Matching ... See full document

10

TripleNet: Triple Attention Network for Multi Turn Response Selection in Retrieval Based Chatbots

TripleNet: Triple Attention Network for Multi Turn Response Selection in Retrieval Based Chatbots

... We implement our model by Keras (Chollet et al., 2015) with TensorFlow backend. In the Embed- ding Layer, the word embeddings are pre-trained using the training set via GloVe (Pennington et al., 2014), the weights of ... See full document

10

Dually Interactive Matching Network for Personalized Response Selection in Retrieval Based Chatbots

Dually Interactive Matching Network for Personalized Response Selection in Retrieval Based Chatbots

... ized response selection as a dual matching prob- lem to search for a response that can properly match the given context and persona simulta- ...tive Matching Network (DIM) is proposed, ... See full document

10

A Sequential Matching Framework for Multi Turn Response Selection in Retrieval Based Chatbots

A Sequential Matching Framework for Multi Turn Response Selection in Retrieval Based Chatbots

... Generation-based chatbots reply to a message with natural language generation ...a response. Recently, together with the success of deep learning approaches, the sequence-to-sequence frame- ... See full document

35

Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval based Dialogue Systems

Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval based Dialogue Systems

... of response se- lection as an approach to implementing a retrieval- based dialogue system (Ji et ...in response selection is measur- ing the matching degree between a ... See full document

6

Bot2Vec: Learning Representations of Chatbots

Bot2Vec: Learning Representations of Chatbots

... Detecting production bots Several companies provide bot development platforms that are used to create and manage conversational bots. Based on analyses of the logs of one commercial platform, we have found that a ... See full document

10

Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach

Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach

... A third category of methods links the polar- ity shift effect of negations more closely to sen- timent analysis tasks at sentence or document level. For example, text parts can be classified into a polarity-unshifted ... See full document

7

Selection of weak VARMA models by Akaïke's information criteria

Selection of weak VARMA models by Akaïke's information criteria

... (VARMA) models and the sub-class of vector autoregressive (VAR) models under the assumption that the errors are uncorrelated but not necessarily ...VARMA models, and allow to cover linear ... See full document

40

Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision

Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision

... model. Therefore, both models rely on REIN- FORCE for training. The main difference between the two is the abstraction level of the programming language. RL-NTM uses lower level operations such as memory address ... See full document

11

Learning to Recognize Animals by Watching Documentaries: Using Subtitles as Weak Supervision

Learning to Recognize Animals by Watching Documentaries: Using Subtitles as Weak Supervision

... and models that cope with the above ...recognition models that can be learned without the need for bounding boxes, or curated data comprising manually annotated training ... See full document

10

Query based Text Normalization Selection Models for Enhanced Retrieval Accuracy

Query based Text Normalization Selection Models for Enhanced Retrieval Accuracy

... To visualize the relative performances among three text normalization techniques, we standardized the three MAP values for a single topic (one from each text normalization technique) to have mean 0 and standard deviation ... See full document

8

Knowledge Based Weak Supervision for Information Extraction of Overlapping Relations

Knowledge Based Weak Supervision for Information Extraction of Overlapping Relations

... To measure the impact of modeling overlapping relations, we also evaluated a simple, restricted baseline. Instead of labeling each entity pair with the set of all true Freebase facts, we created a dataset where each true ... See full document

10

DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval

DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval

... Information Retrieval (Neu-IR) models de- rive query-to-document ranking scores based on term-level ...query-to-document matching at the subtopic and higher ...DeepTileBars models the ... See full document

8

Selection of weak VARMA models by modified Akaike's information criteria

Selection of weak VARMA models by modified Akaike's information criteria

... and weak noise ...dates models ( i.e. VAR(k) models with k = 1, ...VAR models of order 1, ...candidate models. To generate the strong and weak VAR(1) models, we consider ... See full document

40

Development of a Preliminary Measurement Tool of User Satisfaction for Information Retrieval Chatbots

Development of a Preliminary Measurement Tool of User Satisfaction for Information Retrieval Chatbots

... Chatbot services are offered online but no scale has been developed to measure usability and user satisfaction reliably from an end user’s perspective. A preliminary version of the new usability measurement tool - UMT/C ... See full document

60

Financial Event Extraction Using Wikipedia Based Weak Supervision

Financial Event Extraction Using Wikipedia Based Weak Supervision

... statistical learning framework for identifying relevant ...vised learning approach for identifying events re- lated to a given company, and suggest to train a sentence-level classifier for this ... See full document

6

Usability of information retrieval chatbots and the effects of avatars on trust

Usability of information retrieval chatbots and the effects of avatars on trust

... of chatbots revealed rather mixed ...of chatbots and continues with a usability test in which a preliminary usability satisfaction questionnaire is tested and the effects of avatars on trust are ...of ... See full document

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