[PDF] Top 20 Question Answering with Subgraph Embeddings
Has 10000 "Question Answering with Subgraph Embeddings" found on our website. Below are the top 20 most common "Question Answering with Subgraph Embeddings".
Question Answering with Subgraph Embeddings
... where m is the margin (fixed to 0.1). Minimizing Eq. (2) learns the embedding matrix W so that the score of a question paired with a correct an- swer is greater than with any incorrect answer ¯ a by at least m. ¯ ... See full document
6
Joint Multitask Learning for Community Question Answering Using Task Specific Embeddings
... for Question Answering in community forums: given a new question, (i) find related exist- ing questions, and (ii) find relevant answers to this new ...thread question in a ... See full document
12
Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering
... given question (q), then inferring (t) corresponding to the pre- dicted pair (h,r) using any KB completion models ...as question paraphrases or entity ... See full document
5
Question Answering with Sub Graph Embeddings Analytics and Future Discussionss
... is identified with parsing). Just connecting substances and perceiving the relations is not adequate to create a sensible representation that can be utilized to question an information source. The remaining issue ... See full document
5
Using Centroids of Word Embeddings and Word Mover’s Distance for Biomedical Document Retrieval in Question Answering
... sides in documents and is essential in later stages. We propose a new document retrieval method. Instead of representing documents and questions as bags of words, we represent them as the cen- troids of their word ... See full document
5
On a problem on explicit embeddings of the group ℚ
... a question of de la Harpe and Bridson in the Kourovka Notebook, we build the explicit embeddings of the additive group of rational numbers Q in a finitely generated group ... See full document
5
Question Answering in the Biomedical Domain
... RQ4: How do we include temporality or lo- cality of diseases into answers? Diseases are non-static, they evolve such as the flu or are sea- sonal such as the summer cold. Current models utilise only static vector inputs, ... See full document
10
Simple Question Answering with Subgraph Ranking and Joint Scoring
... The two categories of methods for fact selec- tion are match-scoring models and classification models. The match-scoring models employ neu- ral networks to score the similarity between the question and the ... See full document
11
Joint Relational Embeddings for Knowledge based Question Answering
... Result Analysis Since the majority of questions in WebQ. tend to be more natural and diverse, our method cannot find the correct answers to many questions. The errors can be caused by any of the following reasons. First, ... See full document
6
Alignment over Heterogeneous Embeddings for Question Answering
... tion answering (QA) called Alignment over Heterogeneous Embeddings ...the question and candi- date answer with the most similar word in the retrieved supporting paragraph, and weighs each alignment ... See full document
11
Creating Causal Embeddings for Question Answering with Minimal Supervision
... for question answering (QA) is that a good answer is one that is closely related to the question, where re- latedness is often determined using general- purpose lexical models such as word embed- ... See full document
11
Experiments with Interactive Question Answering
... act with modules from the predictive dialogue block. Central to the predictive dialogue is the topic repre- sentation for each scenario, which enables the pop- ulation of a Predictive Dialogue Network (PDN). The PDN ... See full document
10
Image Question Answering: A Review
... every question inquires about specifics of different regions in the ...have question-guided attention, which means, the attention based CNNs used in these approaches determines respective regions in the ... See full document
5
Knowledge Based Question Answering
... DEF-WORD A/C SENSE AIRCRAFT SENSE AIR-CONDITIONER DEF-WOED EAT SENSE [EAT ACTOR NIL OBJECT NIL TO *INSIDEI PLACE ~STOMACN~ PART NIL] EXPECTATIONS [ IF IN-ACT-SPOT #ANI}~TE THEN SLOTS TO [r] ... See full document
8
Neural Arabic Question Answering
... Open-domain Arabic question answering. The state of current Arabic QA systems is summarized in (Shaheen and Ezzeldin, 2014): research has focused mostly on open-ended QA using classi- cal information ... See full document
11
APPROCHES FOR QUESTION ANSWERING SYSTEMS
... of Question answering system requires a linguistic support to understand the natural language text in order to answer the questions ...domain question answering system ... See full document
6
Learning to Paraphrase for Question Answering
... the question and then submit the rewritten version to a QA ...produce question paraphrases, such as rule-based machine translation (Duboue and Chu- Carroll, 2006), lexical and phrasal rules from the ... See full document
12
Question Answering Evaluation Survey
... a question and extracted from a document which stated ...a question does not have any known correct answers in the document collection, this is called a NIL answer and it will be judged correct if it was ... See full document
6
Revisiting Question Answering in Vampire
... 3. Very subtly, as the shape of clauses are changed, the order in which they are retrieved from term indexing structures may change, which can also change the order they are met in clause selection. If we want to avoid ... See full document
11
Neural Generative Question Answering
... a question-answer pair with the KB-word specified in the ...factoid question, which means each question-answer pair is associated with a single fact ...the question is on sub- ject and ... See full document
7
Related subjects