[PDF] Top 20 Annotating Relation Inference in Context via Question Answering

... lation inference perform some form of post-hoc evaluation (Lin and Pantel, 2001; Szpektor et ...several inference rules between two rela- tion templates, which are then evaluated manu- ...in context ... See full document

... for question answering (QA) over documents have achieved sig- nificant performance ...minimal context re- quired to answer the question, and find that most questions in existing datasets can ... See full document

... cloze-style question answering ...query-aware context vector, named Multi-Space based Context Fusion (MSCF), with the following considerations: (1) interactions are applied across multiple ... See full document

... dation set, which is shown in Table 4 for Task 1. We found that our system had trouble with nu- merical interpretation and, for instance, was not able to determine the difference between type 1 and type 2 diabetes. ... See full document

... S, question pattern prediction predicts S’s most related question patterns, and then use them to generate ...two question patterns can be derived from S, including: (1) who founded # ?, which can be ... See full document

... for question and answer ...(e.g., question-answer pairs) in the absence of which they are troubled by noise ...a question could be available, thereby lead- ing to potentially more improvements than ... See full document

... semantic theories on modality m~d question answering, defines a wkler, pragmatically flavoured, notion of answerhood based on non-monotonic inference aod develops a notion o f context, w[r] ... See full document

... Language Inference (NLI): This task involves in identifying three inference relations between two sentences: ...entailment relation between two questions in the context of ...of ... See full document

... More recently, the shared task at SemEval 2015 on Answer Selection in CQA (Nakov et al., 2015), whose benchmark datasets we will use below, tackled the task of identifying good, potentially useful, and bad comments ... See full document

... Table 3: Dataset sizes for our experiments To see how our annotation results could be generalized to new data, we employed the multi-column convolutional neural network (MCNN) (Cires¸an et al., 2012). An MCNN is a ... See full document

... certain relation types, such as verb-argument relations, and extract them from the syntactic tree using some heuristic ...local context of the answer node, such as its parent or sibling nodes, and does not ... See full document

... original relation names can sometimes help to match longer question contexts, we propose to build both relation-level and word-level rela- tion ...of question representations in order to match ... See full document

... a context window to a local contextual feature vec- tor, so that semantically similar word-n-grams are projected to vectors that are close to each other in the contextual feature ... See full document

... Traditional MRC models (Wang and Jiang, 2016; Xiong et al., 2017) predict the starting and end- ing indices by applying two softmax layers to the context tokens. This softmax-based span extrac- tion strategy only ... See full document

... same question, as well as the answers of the questions related by the entailment ...textual inference and question entailment to filter and re-rank the retrieved an- ... See full document

... Sentence matching is widely used in various natural language tasks such as natural language inference, paraphrase identifi- cation, and question answering. For these tasks, understand- ing logical ... See full document

... Dong et al. (2015) were the first to use MCCNN for question answering. Yet our approach is very different in spirit to theirs. Dong et al. aim to maximize the similarity between the distributed ... See full document

... the relation inference power of UHop: it performs well for all four buckets of ...by relation- chain based models themselves like HR-BiLSTM or ABWIM independent of UHop is not feasible: the number of ... See full document

... of question. “mu- sic.recording.producer” is the gold relation, but it is an unseen ...this relation is seen and perhaps relevant in the training ...seen relation, ...closest relation ... See full document

... 33% of the errors, the model mistakenly selected the choice which is not consistent with human common sense. For example, in P2 of Figure 6, both choice A and choice C could be potentially correct answers. However, from ... See full document