Co-PoeTryMe: Interactive poetry generation

PoeTryMe is a poetry generation system that autonomously produces poems from a set of initial parameters. After using it, creative writers and other users of this system expressed the desire to partake in the creative process by directly interacting with PoeTryMe. This paper is motivated by the previous impressions. It illustrates some of the challenges of automatic poetry generation, highlights limitations of PoeTryMe, and reports on recent efforts to address user feedback and provide alternative ways of using this system. First, making some functionalities available via a web API enabled their exploitation by other systems. Those include the generation of single lines as well as retrieval of related words, allowing for additional constraints on the number of syllables, sentiment and rhyme. On top of this API, a co-creative interface, Co-PoeTryMe, has been developed. Co-PoeTryMe allows users to either start from scratch or from a generated draft. Extensive editing functionality has been incorporated, in particular, allowing lines and words to be switched or replaced by newly generated alternatives. Co-PoeTryMe, its interface and the co-creative process for producing poetry are described, along with a user study that provided useful feedback. Users pointed out the strengths of this new system, including its capacities in providing inspiration, and giving the user the ability to customize an existing draft and visualize the changes, but also pointed out weaknesses, primarily by identifying potential improvements in the user interface.     

《遁》卦与葛洪的隐逸思想

《遁》卦是《周易》的第三十三卦.长期以来,学术界对该卦意涵的理解见仁见智.本文认为《遁》卦并非是倡导消极隐退,而是反复强调隐遁的两个重要条件:时与志.这种思想对晋代著名道士葛洪产生了深刻影响.葛洪的隐逸思想与《遁》卦存在密切关系,将《周易·遁卦》与葛洪的隐逸思想贯通起来分析,不仅有助于理解《遁》卦内涵,也有助于对道教思想文化发展状态的把握.     

Generation and evaluation of user tailored responses in multimodal dialogue

When people engage in conversation, they tailor their utterances to their conversational partners, whether these partners are other humans or computational systems. This tailoring, or adaptation to the partner takes place in all facets of human language use, and is based on a mental model or a user model of the conversational partner. Such adaptation has been shown to improve listeners’ comprehension, their satisfaction with an interactive system, the efficiency with which they execute conversational tasks, and the likelihood of achieving higher level goals such as changing the listener’s beliefs and attitudes. We focus on one aspect of adaptation, namely the tailoring of the content of dialogue system utterances for the higher level processes of persuasion, argumentation and advice-giving. Our hypothesis is that algorithms that adapt content for these processes, according to a user model, will improve the usability, efficiency, and effectiveness of dialogue systems. We describe a multimodal dialogue system and algorithms for adaptive content selection based on multi-attribute decision theory. We demonstrate experimentally the improved efficacy of system responses through the use of user models to both tailor the content of system utterances and to manipulate their conciseness.     

Representante-representativo,représentant-représentation,ideational representative: Which one is a Freudian concept? On the translation of Vorstellungsrepräsentanz in Spanish,French and English1

The Freudian expression Vorstellungsrepräsentanz ( Freud, 1915b, 1915c ), which is rendered in the Standard Edition as ideational representative, is commonly translated in Spanish as representante-representativo and in French as représentant-représentation, among other renderings. An interdisciplinary conceptual inquiry, which applies linguistic semantics to the evaluation of the available Spanish and French renderings, concludes that this compound expression should be translated in these languages as representante ideativo and représentant idéatif, respectively, renderings which happen to correspond to Strachey’s translation into English in the SE. In contrast to most Spanish and French translations, this proposal conforms to the semantic principle of compositionality. On the one hand, it provides a suitable translation of the two parts of the compound. Thus it renders Vorstellung as idea, with the classical meaning of image or mental representation, which can be traced back to Hume’s empiricist philosophy, and it renders Repräsentanz as representative, with the meaning of delegate. On the other hand, its linguistic form preserves the attributive meaning relationship which exists between both concepts in the original German expression. Against the background of these semantic considerations, a theoretical question concerning Freudian metapsychology is discussed: the drive has a psychic representative, but is there a (mental) representation of the drive?     

Where do hypotheses come from?

Why are human inferences sometimes remarkably close to the Bayesian ideal and other times systematically biased? In particular, why do humans make near-rational inferences in some natural domains where the candidate hypotheses are explicitly available, whereas tasks in similar domains requiring the self-generation of hypotheses produce systematic deviations from rational inference. We propose that these deviations arise from algorithmic processes approximating Bayes’ rule. Specifically in our account, hypotheses are generated stochastically from a sampling process, such that the sampled hypotheses form a Monte Carlo approximation of the posterior. While this approximation will converge to the true posterior in the limit of infinite samples, we take a small number of samples as we expect that the number of samples humans take is limited. We show that this model recreates several well-documented experimental findings such as anchoring and adjustment, subadditivity, superadditivity, the crowd within as well as the self-generation effect, the weak evidence, and the dud alternative effects. We confirm the model’s prediction that superadditivity and subadditivity can be induced within the same paradigm by manipulating the unpacking and typicality of hypotheses. We also partially confirm our model’s prediction about the effect of time pressure and cognitive load on these effects.     

An eye-tracking attention based model for abstractive text headline

Online network platforms provide great convenience for users to obtain information. However, it’s challenging to select the required information from enormous texts. Automatic text headline generation methods not only guide users to select the information they are interested in, but also solve the problem of information overload. Nevertheless, the existing works mainly utilize the grammar rules to obtain the key information of the source text, while ignoring the dwell time of user’s attention on different text contents. To address this issue, this paper proposes an abstractive text headline generation model based on the eye-tracking attention mechanism. Specifically, this model first relies on the eye-tracking data to establish the mapping relationship between text words and the words’ reading time. Then, an eye-tracking attention mechanism is constructed to judge the importance of different words. Finally, this attention mechanism is integrated into the encoder-decoder framework to generate a high-quality headline. Experimental results obtained from different datasets demonstrate that the headline generated by our model is more concise. Moreover, our proposed model outperforms significantly the classical headline generation models on ROUGE-1, ROUGE-2 and ROUGE-L.     

Opening the cuebox: The information children and young adults generate and rely on when making inferences from memory

We used a cue‐generation and a cue‐selection paradigm to investigate the cues children (9‐ to 12‐year‐olds) and young adults (17‐year‐olds) generate and select for a range of inferences from memory. We found that children generated more cues than young adults, who, when asked why they did not generate some particular cues, responded that they did not consider them relevant for the task at hand. On average, the cues generated by children were more perceptual but as informative as the cues generated by young adults. When asked to select the most informative of two cues, both children and young adults tended to choose a hidden (i.e., not perceptual) cue. Our results suggest a developmental change in the cuebox (i.e., the set of cues used to make inferences from memory): New cues are added to the cuebox as more cues are learned, and some old, perceptual cues, although informative, are replaced with hidden cues, which, by both children and young adults, are generally assumed to be more informative than perceptual cues.     

Lived religion and the religious field

ABSTRACT

In the study of lived religion, the focus on laypeople as religious agents can result in the simplistic juxtaposition of religion-as-practised by individuals and religion-as-prescribed by institutions. This perspective leads to analyses that over-emphasize agency and overlook the embeddedness of religious persons in intricate power relations that expand beyond the institution(s) closest to them. I propose that Pierre Bourdieu’s social theory, particularly as related to the religious field, offers tools for tackling this issue. While Bourdieu’s work has been criticized for relegating the laity to the status of passive consumers of religious goods, his theorizations can also be employed to produce nuanced micro-level accounts that prioritize laypeople’s practical knowledge of the field and the positions they take within it. Based on my case study of older Finnish women’s normative assessments related to religion, I demonstrate how scholars can investigate the role which their informants’ histories and investments within the religious field play in their religion-as-lived. The women in my study, lifelong members of Orthodox or Lutheran churches, defended their positions in the increasingly individualistic Finnish religious field through an emphasis on childhood socialization as the foundation of ‘proper’ religion.     

Using Linguistic Corpora as a Philosophical Tool

The central aims of this paper are to show how linguistic corpora have been used and can be used in philosophy and to argue that linguistic corpora and corpus analysis should be added to the philosopher’s toolkit of ways to address philosophical questions. A linguistic corpus is a curated collection of texts representing language use that can be queried to answer research questions. Among many other uses, linguistic corpora can help answer questions about the meaning of words and the structure of discourse. Through a discussion of examples, the paper shows that there are many philosophical questions that can be addressed by using a linguistic corpus. However, linguistic corpora need not (and often cannot) replace traditional philosophical methods. Lastly, it argues that the special properties of linguistic corpora, including their independence and the current ease and cheapness of access, make them an indispensable resource for philosophers.     

Effects of making errors in learning a foreign language

ABSTRACT

Kornell, Hays, and Bjork ([2009]. Unsuccessful retrieval attempts enhance subsequent learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35, 989–998) showed that incorrect guesses do not necessarily harm and might even improve the retention of information on a subsequent test. We sought to replicate the finding using educationally relevant stimuli. In two experiments, our participants either translated sentences in a foreign language receiving immediate feedback (errorful condition), or copied and studied the correct translation (errorless condition). After this training phase, a final test with the same sentences showed that translating sentences wrongly during training did not lower the accuracy of the errorful as compared to the errorless condition. Overall there was evidence that errorful training produced superior learning of the meaning and grammar of the foreign language sentences. The results support the idea that search processes activate a greater network of related knowledge in the errorful than in the errorless condition.